# best-of-ml-python **Repository Path**: monkeycc/best-of-ml-python ## Basic Information - **Project Name**: best-of-ml-python - **Description**: https://github.com/ml-tooling/best-of-ml-python - **Primary Language**: Python - **License**: CC-BY-SA-4.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-07-26 - **Last Updated**: 2022-10-14 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Best-of Machine Learning with Python

🏆  A ranked list of awesome machine learning Python libraries. Updated weekly.

This curated list contains 910 awesome open-source projects with a total of 3.5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! ---

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--- ## Contents - [Machine Learning Frameworks](#machine-learning-frameworks) _58 projects_ - [Data Visualization](#data-visualization) _54 projects_ - [Text Data & NLP](#text-data--nlp) _100 projects_ - [Image Data](#image-data) _64 projects_ - [Graph Data](#graph-data) _36 projects_ - [Audio Data](#audio-data) _29 projects_ - [Geospatial Data](#geospatial-data) _22 projects_ - [Financial Data](#financial-data) _25 projects_ - [Time Series Data](#time-series-data) _28 projects_ - [Medical Data](#medical-data) _20 projects_ - [Tabular Data](#tabular-data) _5 projects_ - [Optical Character Recognition](#optical-character-recognition) _12 projects_ - [Data Containers & Structures](#data-containers--structures) _1 projects_ - [Data Loading & Extraction](#data-loading--extraction) _1 projects_ - [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_ - [Data Pipelines & Streaming](#data-pipelines--streaming) _1 projects_ - [Distributed Machine Learning](#distributed-machine-learning) _36 projects_ - [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _52 projects_ - [Reinforcement Learning](#reinforcement-learning) _23 projects_ - [Recommender Systems](#recommender-systems) _17 projects_ - [Privacy Machine Learning](#privacy-machine-learning) _7 projects_ - [Workflow & Experiment Tracking](#workflow--experiment-tracking) _39 projects_ - [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_ - [Model Interpretability](#model-interpretability) _54 projects_ - [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _12 projects_ - [Probabilistics & Statistics](#probabilistics--statistics) _23 projects_ - [Adversarial Robustness](#adversarial-robustness) _9 projects_ - [GPU & Accelerator Utilities](#gpu--accelerator-utilities) _20 projects_ - [Tensorflow Utilities](#tensorflow-utilities) _16 projects_ - [Jax Utilities](#jax-utilities) _3 projects_ - [Sklearn Utilities](#sklearn-utilities) _19 projects_ - [Pytorch Utilities](#pytorch-utilities) _32 projects_ - [Database Clients](#database-clients) _1 projects_ - [Others](#others) _65 projects_ ## Explanation - 🥇🥈🥉  Combined project-quality score - ⭐️  Star count from GitHub - 🐣  New project _(less than 6 months old)_ - 💤  Inactive project _(6 months no activity)_ - 💀  Dead project _(12 months no activity)_ - 📈📉  Project is trending up or down - ➕  Project was recently added - ❗️  Warning _(e.g. missing/risky license)_ - 👨‍💻  Contributors count from GitHub - 🔀  Fork count from GitHub - 📋  Issue count from GitHub - ⏱️  Last update timestamp on package manager - 📥  Download count from package manager - 📦  Number of dependent projects -   Tensorflow related project -   Sklearn related project -   PyTorch related project -   MxNet related project -   Apache Spark related project -   Jupyter related project -   PaddlePaddle related project -   Pandas related project -   Jax related project
## Machine Learning Frameworks Back to top _General-purpose machine learning and deep learning frameworks._
scikit-learn (🥇52 · ⭐ 52K) - scikit-learn: machine learning in Python. BSD-3 - [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 2.8K · 🔀 23K · 📥 820 · 📦 400K · 📋 10K - 20% open · ⏱️ 06.10.2022): ``` git clone https://github.com/scikit-learn/scikit-learn ``` - [PyPi](https://pypi.org/project/scikit-learn) (📥 34M / month · 📦 26K · ⏱️ 05.08.2022): ``` pip install scikit-learn ``` - [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 16M · ⏱️ 05.08.2022): ``` conda install -c conda-forge scikit-learn ```
PyTorch (🥇50 · ⭐ 59K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 - [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 3.6K · 🔀 17K · 📥 6.8K · 📋 29K - 34% open · ⏱️ 06.10.2022): ``` git clone https://github.com/pytorch/pytorch ``` - [PyPi](https://pypi.org/project/torch) (📥 8.1M / month · 📦 7.6K · ⏱️ 28.06.2022): ``` pip install torch ``` - [Conda](https://anaconda.org/pytorch/pytorch) (📥 20M · ⏱️ 04.08.2022): ``` conda install -c pytorch pytorch ```
Keras (🥇45 · ⭐ 56K) - Deep Learning for humans. Apache-2 - [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.1K · 🔀 19K · 📋 12K - 2% open · ⏱️ 06.10.2022): ``` git clone https://github.com/keras-team/keras ``` - [PyPi](https://pypi.org/project/keras) (📥 9.8M / month · 📦 330 · ⏱️ 13.05.2022): ``` pip install keras ``` - [Conda](https://anaconda.org/conda-forge/keras) (📥 2.6M · ⏱️ 04.09.2022): ``` conda install -c conda-forge keras ```
XGBoost (🥇44 · ⭐ 23K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 - [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 580 · 🔀 8.5K · 📥 5.2K · 📦 37K · 📋 4.6K - 6% open · ⏱️ 06.10.2022): ``` git clone https://github.com/dmlc/xgboost ``` - [PyPi](https://pypi.org/project/xgboost) (📥 8.3M / month · 📦 1.4K · ⏱️ 09.05.2022): ``` pip install xgboost ``` - [Conda](https://anaconda.org/conda-forge/xgboost) (📥 3.2M · ⏱️ 01.09.2022): ``` conda install -c conda-forge xgboost ```
jax (🥇44 · ⭐ 20K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 - [GitHub](https://github.com/google/jax) (👨‍💻 460 · 🔀 1.9K · 📦 5.7K · 📋 3.8K - 29% open · ⏱️ 06.10.2022): ``` git clone https://github.com/google/jax ``` - [PyPi](https://pypi.org/project/jax) (📥 600K / month · 📦 320 · ⏱️ 28.06.2022): ``` pip install jax ``` - [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 460K · ⏱️ 30.09.2022): ``` conda install -c conda-forge jaxlib ```
PySpark (🥇43 · ⭐ 34K) - Apache Spark Python API. Apache-2 - [GitHub](https://github.com/apache/spark) (👨‍💻 2.7K · 🔀 26K · ⏱️ 06.10.2022): ``` git clone https://github.com/apache/spark ``` - [PyPi](https://pypi.org/project/pyspark) (📥 27M / month · 📦 850 · ⏱️ 15.06.2022): ``` pip install pyspark ``` - [Conda](https://anaconda.org/conda-forge/pyspark) (📥 2M · ⏱️ 27.07.2022): ``` conda install -c conda-forge pyspark ```
PaddlePaddle (🥈42 · ⭐ 19K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 830 · 🔀 4.7K · 📥 15K · 📦 140 · 📋 16K - 18% open · ⏱️ 03.10.2022): ``` git clone https://github.com/PaddlePaddle/Paddle ``` - [PyPi](https://pypi.org/project/paddlepaddle) (📥 69K / month · 📦 50 · ⏱️ 05.07.2022): ``` pip install paddlepaddle ```
StatsModels (🥈42 · ⭐ 7.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 - [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 390 · 🔀 2.4K · 📥 26 · 📦 71K · 📋 4.8K - 46% open · ⏱️ 26.09.2022): ``` git clone https://github.com/statsmodels/statsmodels ``` - [PyPi](https://pypi.org/project/statsmodels) (📥 9.3M / month · 📦 4.5K · ⏱️ 08.02.2022): ``` pip install statsmodels ``` - [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 7.4M · ⏱️ 09.06.2022): ``` conda install -c conda-forge statsmodels ```
LightGBM (🥈41 · ⭐ 14K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT - [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 270 · 🔀 3.6K · 📥 170K · 📦 16K · 📋 2.8K - 8% open · ⏱️ 15.09.2022): ``` git clone https://github.com/microsoft/LightGBM ``` - [PyPi](https://pypi.org/project/lightgbm) (📥 7.4M / month · 📦 640 · ⏱️ 07.01.2022): ``` pip install lightgbm ``` - [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 1.2M · ⏱️ 08.01.2022): ``` conda install -c conda-forge lightgbm ```
Fastai (🥈40 · ⭐ 23K) - The fastai deep learning library. Apache-2 - [GitHub](https://github.com/fastai/fastai) (👨‍💻 610 · 🔀 7.3K · 📦 11K · 📋 1.7K - 7% open · ⏱️ 06.10.2022): ``` git clone https://github.com/fastai/fastai ``` - [PyPi](https://pypi.org/project/fastai) (📥 260K / month · 📦 300 · ⏱️ 04.07.2022): ``` pip install fastai ```
pytorch-lightning (🥈40 · ⭐ 20K) - Build and train PyTorch models and connect them to.. Apache-2 - [GitHub](https://github.com/Lightning-AI/lightning) (👨‍💻 770 · 🔀 2.6K · 📥 8.6K · 📦 89 · 📋 5.6K - 11% open · ⏱️ 06.10.2022): ``` git clone https://github.com/Lightning-AI/lightning ``` - [PyPi](https://pypi.org/project/pytorch-lightning) (📥 2.8M / month · 📦 400 · ⏱️ 01.06.2022): ``` pip install pytorch-lightning ``` - [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 560K · ⏱️ 23.09.2022): ``` conda install -c conda-forge pytorch-lightning ```
Jina (🥈39 · ⭐ 16K) - Build cross-modal and multimodal applications on the cloud Neural Search.. Apache-2 - [GitHub](https://github.com/jina-ai/jina) (👨‍💻 160 · 🔀 2K · 📦 360 · 📋 1.7K - 2% open · ⏱️ 06.10.2022): ``` git clone https://github.com/jina-ai/jina ``` - [PyPi](https://pypi.org/project/jina) (📥 82K / month · 📦 2 · ⏱️ 06.07.2022): ``` pip install jina ``` - [Conda](https://anaconda.org/conda-forge/jina-core) (📥 26K · ⏱️ 16.08.2022): ``` conda install -c conda-forge jina-core ``` - [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.1M · ⭐ 7 · ⏱️ 06.10.2022): ``` docker pull jinaai/jina ```
MXNet (🥈38 · ⭐ 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 - [GitHub](https://github.com/apache/incubator-mxnet) (👨‍💻 980 · 🔀 6.9K · 📥 26K · 📋 9.7K - 20% open · ⏱️ 26.09.2022): ``` git clone https://github.com/apache/incubator-mxnet ``` - [PyPi](https://pypi.org/project/mxnet) (📥 370K / month · 📦 280 · ⏱️ 17.05.2022): ``` pip install mxnet ``` - [Conda](https://anaconda.org/anaconda/mxnet) (📥 8.2K · 📦 5 · ⏱️ 02.05.2022): ``` conda install -c anaconda mxnet ```
Catboost (🥈38 · ⭐ 6.7K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 - [GitHub](https://github.com/catboost/catboost) (👨‍💻 1K · 🔀 1.1K · 📥 89K · 📋 1.9K - 23% open · ⏱️ 06.10.2022): ``` git clone https://github.com/catboost/catboost ``` - [PyPi](https://pypi.org/project/catboost) (📥 2.4M / month · 📦 240 · ⏱️ 19.05.2022): ``` pip install catboost ``` - [Conda](https://anaconda.org/conda-forge/catboost) (📥 1.1M · ⏱️ 26.09.2022): ``` conda install -c conda-forge catboost ```
PyFlink (🥈37 · ⭐ 20K) - Apache Flink Python API. Apache-2 - [GitHub](https://github.com/apache/flink) (👨‍💻 1.6K · 🔀 11K · ⏱️ 06.10.2022): ``` git clone https://github.com/apache/flink ``` - [PyPi](https://pypi.org/project/apache-flink) (📥 62K / month · 📦 16 · ⏱️ 05.07.2022): ``` pip install apache-flink ```
Theano (🥈37 · ⭐ 9.6K · 💤) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - [GitHub](https://github.com/Theano/Theano) (👨‍💻 380 · 🔀 2.5K · 📦 13K · 📋 2.8K - 24% open · ⏱️ 23.11.2021): ``` git clone https://github.com/Theano/Theano ``` - [PyPi](https://pypi.org/project/theano) (📥 310K / month · 📦 2.8K · ⏱️ 27.07.2020): ``` pip install theano ``` - [Conda](https://anaconda.org/conda-forge/theano) (📥 2.2M · ⏱️ 16.03.2022): ``` conda install -c conda-forge theano ```
Thinc (🥈36 · ⭐ 2.6K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT - [GitHub](https://github.com/explosion/thinc) (👨‍💻 56 · 🔀 260 · 📦 24K · 📋 140 - 18% open · ⏱️ 04.10.2022): ``` git clone https://github.com/explosion/thinc ``` - [PyPi](https://pypi.org/project/thinc) (📥 4.3M / month · 📦 620 · ⏱️ 22.06.2022): ``` pip install thinc ``` - [Conda](https://anaconda.org/conda-forge/thinc) (📥 2.2M · ⏱️ 01.10.2022): ``` conda install -c conda-forge thinc ```
Tensorflow (🥈35 · ⭐ 170K · 📉) - An Open Source Machine Learning Framework for Everyone. Apache-2 - [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 890 · 🔀 87K): ``` git clone https://github.com/tensorflow/tensorflow ``` - [PyPi](https://pypi.org/project/tensorflow) (📥 16M / month · 📦 14K · ⏱️ 06.09.2022): ``` pip install tensorflow ``` - [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 3.7M · ⏱️ 25.09.2022): ``` conda install -c conda-forge tensorflow ``` - [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 68M · ⭐ 2.1K · ⏱️ 06.10.2022): ``` docker pull tensorflow/tensorflow ```
Vowpal Wabbit (🥈35 · ⭐ 8K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 320 · 🔀 1.8K · 📋 1.2K - 11% open · ⏱️ 06.10.2022): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` - [PyPi](https://pypi.org/project/vowpalwabbit) (📥 81K / month · 📦 31 · ⏱️ 06.04.2022): ``` pip install vowpalwabbit ``` - [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 78K · ⏱️ 05.10.2022): ``` conda install -c conda-forge vowpalwabbit ```
Chainer (🥈35 · ⭐ 5.7K) - A flexible framework of neural networks for deep learning. MIT - [GitHub](https://github.com/chainer/chainer) (👨‍💻 320 · 🔀 1.4K · 📦 2.8K · 📋 2K - 0% open · ⏱️ 29.09.2022): ``` git clone https://github.com/chainer/chainer ``` - [PyPi](https://pypi.org/project/chainer) (📥 21K / month · 📦 400 · ⏱️ 05.01.2022): ``` pip install chainer ``` - [Conda](https://anaconda.org/conda-forge/chainer) (📥 10K · ⏱️ 21.01.2022): ``` conda install -c conda-forge chainer ```
Flax (🥈35 · ⭐ 3.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 - [GitHub](https://github.com/google/flax) (👨‍💻 170 · 🔀 410 · 📥 42 · 📦 1.4K · 📋 610 - 18% open · ⏱️ 05.10.2022): ``` git clone https://github.com/google/flax ``` - [PyPi](https://pypi.org/project/flax) (📥 340K / month · 📦 75 · ⏱️ 21.06.2022): ``` pip install flax ``` - [Conda](https://anaconda.org/conda-forge/flax) (📥 12K · ⏱️ 04.10.2022): ``` conda install -c conda-forge flax ```
Ludwig (🥈33 · ⭐ 8.5K) - Data-centric declarative deep learning framework. Apache-2 - [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 130 · 🔀 1K · 📦 140 · 📋 880 - 25% open · ⏱️ 06.10.2022): ``` git clone https://github.com/ludwig-ai/ludwig ``` - [PyPi](https://pypi.org/project/ludwig) (📥 1.5K / month · 📦 9 · ⏱️ 25.06.2022): ``` pip install ludwig ```
Ignite (🥈33 · ⭐ 4.1K) - High-level library to help with training and evaluating neural.. BSD-3 - [GitHub](https://github.com/pytorch/ignite) (👨‍💻 180 · 🔀 550 · 📋 1.1K - 13% open · ⏱️ 03.10.2022): ``` git clone https://github.com/pytorch/ignite ``` - [PyPi](https://pypi.org/project/pytorch-ignite) (📥 86K / month · 📦 83 · ⏱️ 07.07.2022): ``` pip install pytorch-ignite ``` - [Conda](https://anaconda.org/pytorch/ignite) (📥 110K · ⏱️ 05.09.2022): ``` conda install -c pytorch ignite ```
tensorflow-upstream (🥈33 · ⭐ 610) - TensorFlow ROCm port. Apache-2 - [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 4.2K · 🔀 71 · 📥 20 · 📋 340 - 19% open · ⏱️ 06.10.2022): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` - [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 1.9K / month · 📦 5 · ⏱️ 05.06.2022): ``` pip install tensorflow-rocm ```
Turi Create (🥉32 · ⭐ 11K · 💤) - Turi Create simplifies the development of custom machine.. BSD-3 - [GitHub](https://github.com/apple/turicreate) (👨‍💻 85 · 🔀 1.1K · 📥 7.2K · 📦 320 · 📋 1.8K - 27% open · ⏱️ 29.11.2021): ``` git clone https://github.com/apple/turicreate ``` - [PyPi](https://pypi.org/project/turicreate) (📥 22K / month · 📦 19 · ⏱️ 30.09.2020): ``` pip install turicreate ```
ivy (🥉32 · ⭐ 6.5K) - The Unified Machine Learning Framework. Apache-2 - [GitHub](https://github.com/unifyai/ivy) (👨‍💻 460 · 🔀 1.9K · 📋 2.5K - 23% open · ⏱️ 06.10.2022): ``` git clone https://github.com/unifyai/ivy ``` - [PyPi](https://pypi.org/project/ivy-core) (📥 340 / month · 📦 6 · ⏱️ 01.06.2022): ``` pip install ivy-core ```
tensorpack (🥉32 · ⭐ 6.2K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 - [GitHub](https://github.com/tensorpack/tensorpack) (👨‍💻 58 · 🔀 1.8K · 📥 140 · 📦 1.1K · 📋 1.4K - 0% open · ⏱️ 04.05.2022): ``` git clone https://github.com/tensorpack/tensorpack ``` - [PyPi](https://pypi.org/project/tensorpack) (📥 15K / month · 📦 46 · ⏱️ 22.01.2021): ``` pip install tensorpack ``` - [Conda](https://anaconda.org/conda-forge/tensorpack) (📥 3.9K · ⏱️ 06.02.2022): ``` conda install -c conda-forge tensorpack ```
mlpack (🥉32 · ⭐ 4.1K) - mlpack: a scalable C++ machine learning library --. BSD-3 - [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 290 · 🔀 1.4K · 📋 1.5K - 3% open · ⏱️ 06.10.2022): ``` git clone https://github.com/mlpack/mlpack ``` - [PyPi](https://pypi.org/project/mlpack) (📥 1.5K / month · 📦 1 · ⏱️ 28.10.2020): ``` pip install mlpack ``` - [Conda](https://anaconda.org/conda-forge/mlpack) (📥 110K · ⏱️ 09.11.2021): ``` conda install -c conda-forge mlpack ```
Sonnet (🥉31 · ⭐ 9.4K) - TensorFlow-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/sonnet) (👨‍💻 54 · 🔀 1.3K · 📦 910 · 📋 180 - 14% open · ⏱️ 23.08.2022): ``` git clone https://github.com/deepmind/sonnet ``` - [PyPi](https://pypi.org/project/dm-sonnet) (📥 23K / month · 📦 52 · ⏱️ 27.03.2020): ``` pip install dm-sonnet ``` - [Conda](https://anaconda.org/conda-forge/sonnet) (📥 17K · ⏱️ 14.11.2020): ``` conda install -c conda-forge sonnet ```
einops (🥉31 · ⭐ 5.7K · 📉) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT - [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 21 · 🔀 250 · 📋 120 - 28% open · ⏱️ 03.10.2022): ``` git clone https://github.com/arogozhnikov/einops ``` - [PyPi](https://pypi.org/project/einops) (📥 1.5M / month · 📦 260 · ⏱️ 04.03.2022): ``` pip install einops ``` - [Conda](https://anaconda.org/conda-forge/einops) (📥 38K · ⏱️ 04.03.2022): ``` conda install -c conda-forge einops ```
Haiku (🥉31 · ⭐ 2.2K) - JAX-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/dm-haiku) (👨‍💻 64 · 🔀 180 · 📦 580 · 📋 220 - 35% open · ⏱️ 30.09.2022): ``` git clone https://github.com/deepmind/dm-haiku ``` - [PyPi](https://pypi.org/project/dm-haiku) (📥 120K / month · 📦 42 · ⏱️ 04.07.2022): ``` pip install dm-haiku ``` - [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 5.9K · ⏱️ 21.09.2022): ``` conda install -c conda-forge dm-haiku ```
CNTK (🥉30 · ⭐ 17K) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - [GitHub](https://github.com/microsoft/CNTK) (👨‍💻 270 · 🔀 4.4K · 📥 14K · 📋 3.4K - 24% open · ⏱️ 23.09.2022): ``` git clone https://github.com/microsoft/CNTK ``` - [PyPi](https://pypi.org/project/cntk) (📥 740 / month · 📦 18 · ⏱️ 09.12.2020): ``` pip install cntk ```
dyNET (🥉30 · ⭐ 3.3K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - [GitHub](https://github.com/clab/dynet) (👨‍💻 160 · 🔀 700 · 📥 7.3K · 📦 220 · 📋 920 - 28% open · ⏱️ 14.08.2022): ``` git clone https://github.com/clab/dynet ``` - [PyPi](https://pypi.org/project/dyNET) (📥 18K / month · 📦 28 · ⏱️ 21.10.2020): ``` pip install dyNET ```
Neural Network Libraries (🥉30 · ⭐ 2.6K) - Neural Network Libraries. Apache-2 - [GitHub](https://github.com/sony/nnabla) (👨‍💻 68 · 🔀 320 · 📥 540 · 📋 82 - 40% open · ⏱️ 28.09.2022): ``` git clone https://github.com/sony/nnabla ``` - [PyPi](https://pypi.org/project/nnabla) (📥 4K / month · 📦 51 · ⏱️ 19.06.2022): ``` pip install nnabla ```
skorch (🥉29 · ⭐ 4.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3 - [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 51 · 🔀 320 · 📦 570 · 📋 450 - 11% open · ⏱️ 06.10.2022): ``` git clone https://github.com/skorch-dev/skorch ``` - [PyPi](https://pypi.org/project/skorch) (📥 36K / month · 📦 41 · ⏱️ 31.10.2021): ``` pip install skorch ``` - [Conda](https://anaconda.org/conda-forge/skorch) (📥 630K · ⏱️ 30.11.2021): ``` conda install -c conda-forge skorch ```
ktrain (🥉29 · ⭐ 1.1K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 - [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 15 · 🔀 260 · 📦 340 · 📋 420 - 0% open · ⏱️ 01.10.2022): ``` git clone https://github.com/amaiya/ktrain ``` - [PyPi](https://pypi.org/project/ktrain) (📥 22K / month · 📦 3 · ⏱️ 20.05.2022): ``` pip install ktrain ```
Neural Tangents (🥉27 · ⭐ 1.9K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - [GitHub](https://github.com/google/neural-tangents) (👨‍💻 23 · 🔀 210 · 📥 250 · 📦 49 · 📋 130 - 38% open · ⏱️ 12.09.2022): ``` git clone https://github.com/google/neural-tangents ``` - [PyPi](https://pypi.org/project/neural-tangents) (📥 1.9K / month · 📦 1 · ⏱️ 23.02.2022): ``` pip install neural-tangents ```
Towhee (🥉27 · ⭐ 1.5K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 28 · 🔀 160 · 📥 240 · 📋 500 - 3% open · ⏱️ 30.09.2022): ``` git clone https://github.com/towhee-io/towhee ``` - [PyPi](https://pypi.org/project/towhee) (📥 720 / month · ⏱️ 07.07.2022): ``` pip install towhee ```
xLearn (🥉26 · ⭐ 3K) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - [GitHub](https://github.com/aksnzhy/xlearn) (👨‍💻 30 · 🔀 530 · 📥 3.5K · 📦 95 · 📋 310 - 62% open · ⏱️ 05.06.2022): ``` git clone https://github.com/aksnzhy/xlearn ``` - [PyPi](https://pypi.org/project/xlearn) (📥 5.5K / month · 📦 12 · ⏱️ 04.12.2018): ``` pip install xlearn ```
Geomstats (🥉26 · ⭐ 830) - Computations and statistics on manifolds with geometric structures. MIT - [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 68 · 🔀 180 · 📋 460 - 36% open · ⏱️ 06.10.2022): ``` git clone https://github.com/geomstats/geomstats ``` - [PyPi](https://pypi.org/project/geomstats) (📥 890 / month · ⏱️ 22.04.2022): ``` pip install geomstats ``` - [Conda](https://anaconda.org/conda-forge/geomstats) (📥 700 · ⏱️ 01.06.2022): ``` conda install -c conda-forge geomstats ```
fklearn (🥉25 · ⭐ 1.4K) - fklearn: Functional Machine Learning. Apache-2 - [GitHub](https://github.com/nubank/fklearn) (👨‍💻 48 · 🔀 160 · 📦 13 · 📋 58 - 62% open · ⏱️ 15.09.2022): ``` git clone https://github.com/nubank/fklearn ``` - [PyPi](https://pypi.org/project/fklearn) (📥 12K / month · ⏱️ 30.12.2021): ``` pip install fklearn ```
mace (🥉22 · ⭐ 4.7K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - [GitHub](https://github.com/XiaoMi/mace) (👨‍💻 64 · 🔀 800 · 📥 1.4K · 📋 670 - 7% open · ⏱️ 30.05.2022): ``` git clone https://github.com/XiaoMi/mace ```
NeoML (🥉22 · ⭐ 700) - Machine learning framework for both deep learning and traditional.. Apache-2 - [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 32 · 🔀 110 · 📋 77 - 37% open · ⏱️ 05.10.2022): ``` git clone https://github.com/neoml-lib/neoml ``` - [PyPi](https://pypi.org/project/neoml) (📥 440 / month · ⏱️ 31.05.2022): ``` pip install neoml ```
Objax (🥉21 · ⭐ 720) - Objax is a machine learning framework that provides an Object.. Apache-2 - [GitHub](https://github.com/google/objax) (👨‍💻 24 · 🔀 60 · 📦 25 · 📋 100 - 42% open · ⏱️ 30.08.2022): ``` git clone https://github.com/google/objax ``` - [PyPi](https://pypi.org/project/objax) (📥 540 / month · 📦 2 · ⏱️ 31.01.2022): ``` pip install objax ```
ThunderSVM (🥉20 · ⭐ 1.4K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨‍💻 34 · 🔀 200 · 📥 2.5K · 📋 210 - 29% open · ⏱️ 09.04.2022): ``` git clone https://github.com/Xtra-Computing/thundersvm ``` - [PyPi](https://pypi.org/project/thundersvm) (📥 350 / month · ⏱️ 13.03.2020): ``` pip install thundersvm ```
ThunderGBM (🥉18 · ⭐ 640) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 10 · 🔀 84 · 📋 75 - 44% open · ⏱️ 13.09.2022): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` - [PyPi](https://pypi.org/project/thundergbm) (📥 310 / month · ⏱️ 01.05.2020): ``` pip install thundergbm ```
chefboost (🥉18 · ⭐ 350) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT - [GitHub](https://github.com/serengil/chefboost) (👨‍💻 6 · 🔀 92 · 📦 28 · 📋 31 - 16% open · ⏱️ 21.05.2022): ``` git clone https://github.com/serengil/chefboost ``` - [PyPi](https://pypi.org/project/chefboost) (📥 1K / month · ⏱️ 16.02.2022): ``` pip install chefboost ```
elegy (🥉16 · ⭐ 410) - A High Level API for Deep Learning in JAX. MIT - [GitHub](https://github.com/poets-ai/elegy) (👨‍💻 17 · 🔀 26 · 📋 100 - 35% open · ⏱️ 23.05.2022): ``` git clone https://github.com/poets-ai/elegy ``` - [PyPi](https://pypi.org/project/elegy) (📥 670 / month · ⏱️ 22.04.2022): ``` pip install elegy ```
Show 10 hidden projects... - dlib (🥈38 · ⭐ 11K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MindsDB (🥈33 · ⭐ 11K) - In-Database Machine Learning. ❗️GPL-3.0 - TFlearn (🥉32 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT - NuPIC (🥉28 · ⭐ 6.3K · 💀) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT - SHOGUN (🥉26 · ⭐ 2.9K · 💀) - Unified and efficient Machine Learning. BSD-3 - NeuPy (🥉24 · ⭐ 720 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - Torchbearer (🥉21 · ⭐ 630 · 💀) - torchbearer: A model fitting library for PyTorch. MIT - StarSpace (🥉16 · ⭐ 3.8K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT

## Data Visualization Back to top _General-purpose and task-specific data visualization libraries._
Matplotlib (🥇49 · ⭐ 16K) - matplotlib: plotting with Python. Python-2.0 - [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.4K · 🔀 6.5K · 📦 630K · 📋 9.2K - 20% open · ⏱️ 06.10.2022): ``` git clone https://github.com/matplotlib/matplotlib ``` - [PyPi](https://pypi.org/project/matplotlib) (📥 29M / month · 📦 55K · ⏱️ 03.05.2022): ``` pip install matplotlib ``` - [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 14M · ⏱️ 16.09.2022): ``` conda install -c conda-forge matplotlib ```
Bokeh (🥇42 · ⭐ 17K) - Interactive Data Visualization in the browser, from Python. BSD-3 - [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 620 · 🔀 4K · 📦 160 · 📋 7K - 9% open · ⏱️ 05.10.2022): ``` git clone https://github.com/bokeh/bokeh ``` - [PyPi](https://pypi.org/project/bokeh) (📥 3.3M / month · 📦 3.6K · ⏱️ 05.07.2022): ``` pip install bokeh ``` - [Conda](https://anaconda.org/conda-forge/bokeh) (📥 8.7M · ⏱️ 15.08.2022): ``` conda install -c conda-forge bokeh ```
Plotly (🥇42 · ⭐ 12K) - The interactive graphing library for Python (includes Plotly Express). MIT - [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 200 · 🔀 2.2K · 📦 12 · 📋 2.4K - 50% open · ⏱️ 11.08.2022): ``` git clone https://github.com/plotly/plotly.py ``` - [PyPi](https://pypi.org/project/plotly) (📥 7.7M / month · 📦 4.1K · ⏱️ 24.06.2022): ``` pip install plotly ``` - [Conda](https://anaconda.org/conda-forge/plotly) (📥 3.2M · ⏱️ 14.08.2022): ``` conda install -c conda-forge plotly ``` - [npm](https://www.npmjs.com/package/plotlywidget) (📥 44K / month · 📦 4 · ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Seaborn (🥇42 · ⭐ 9.9K) - Statistical data visualization in Python. BSD-3 - [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 180 · 🔀 1.6K · 📥 240 · 📋 2.2K - 5% open · ⏱️ 04.10.2022): ``` git clone https://github.com/mwaskom/seaborn ``` - [PyPi](https://pypi.org/project/seaborn) (📥 9.2M / month · 📦 9.4K · ⏱️ 27.06.2022): ``` pip install seaborn ``` - [Conda](https://anaconda.org/conda-forge/seaborn) (📥 4.8M · ⏱️ 06.09.2022): ``` conda install -c conda-forge seaborn ```
dash (🥇40 · ⭐ 17K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT - [GitHub](https://github.com/plotly/dash) (👨‍💻 130 · 🔀 1.8K · 📦 36K · 📋 1.4K - 49% open · ⏱️ 23.09.2022): ``` git clone https://github.com/plotly/dash ``` - [PyPi](https://pypi.org/project/dash) (📥 1.2M / month · 📦 1.2K · ⏱️ 13.06.2022): ``` pip install dash ``` - [Conda](https://anaconda.org/conda-forge/dash) (📥 650K · ⏱️ 24.09.2022): ``` conda install -c conda-forge dash ```
pandas-profiling (🥇39 · ⭐ 9.7K) - Create HTML profiling reports from pandas DataFrame.. MIT - [GitHub](https://github.com/ydataai/pandas-profiling) (👨‍💻 96 · 🔀 1.4K · 📦 9.2K · 📋 610 - 21% open · ⏱️ 06.10.2022): ``` git clone https://github.com/ydataai/pandas-profiling ``` - [PyPi](https://pypi.org/project/pandas-profiling) (📥 1.2M / month · 📦 160 · ⏱️ 27.09.2021): ``` pip install pandas-profiling ``` - [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 290K · ⏱️ 13.09.2022): ``` conda install -c conda-forge pandas-profiling ```
Altair (🥈37 · ⭐ 7.8K · 📉) - Declarative statistical visualization library for Python. BSD-3 - [GitHub](https://github.com/altair-viz/altair) (👨‍💻 140 · 🔀 700 · 📦 34K · 📋 1.7K - 15% open · ⏱️ 23.08.2022): ``` git clone https://github.com/altair-viz/altair ``` - [PyPi](https://pypi.org/project/altair) (📥 8.4M / month · 📦 340 · ⏱️ 29.12.2021): ``` pip install altair ``` - [Conda](https://anaconda.org/conda-forge/altair) (📥 1.4M · ⏱️ 29.12.2021): ``` conda install -c conda-forge altair ```
UMAP (🥈35 · ⭐ 5.8K) - Uniform Manifold Approximation and Projection. BSD-3 - [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 110 · 🔀 640 · 📦 6.3K · 📋 640 - 53% open · ⏱️ 19.09.2022): ``` git clone https://github.com/lmcinnes/umap ``` - [PyPi](https://pypi.org/project/umap-learn) (📥 730K / month · 📦 320 · ⏱️ 13.04.2022): ``` pip install umap-learn ``` - [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 1.4M · ⏱️ 14.04.2022): ``` conda install -c conda-forge umap-learn ```
PyQtGraph (🥈35 · ⭐ 3K) - Fast data visualization and GUI tools for scientific / engineering.. MIT - [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 240 · 🔀 960 · 📋 1.1K - 29% open · ⏱️ 06.10.2022): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` - [PyPi](https://pypi.org/project/pyqtgraph) (📥 110K / month · 📦 820 · ⏱️ 04.03.2022): ``` pip install pyqtgraph ``` - [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 300K · ⏱️ 03.10.2022): ``` conda install -c conda-forge pyqtgraph ```
VisPy (🥈35 · ⭐ 2.9K) - High-performance interactive 2D/3D data visualization library. BSD-3 - [GitHub](https://github.com/vispy/vispy) (👨‍💻 180 · 🔀 590 · 📦 860 · 📋 1.3K - 21% open · ⏱️ 05.10.2022): ``` git clone https://github.com/vispy/vispy ``` - [PyPi](https://pypi.org/project/vispy) (📥 71K / month · 📦 100 · ⏱️ 04.07.2022): ``` pip install vispy ``` - [Conda](https://anaconda.org/conda-forge/vispy) (📥 280K · ⏱️ 05.07.2022): ``` conda install -c conda-forge vispy ``` - [npm](https://www.npmjs.com/package/vispy) (📥 37 / month · ⏱️ 15.03.2020): ``` npm install vispy ```
HoloViews (🥈35 · ⭐ 2.3K) - With Holoviews, your data visualizes itself. BSD-3 - [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 130 · 🔀 360 · 📋 2.9K - 32% open · ⏱️ 04.10.2022): ``` git clone https://github.com/holoviz/holoviews ``` - [PyPi](https://pypi.org/project/holoviews) (📥 450K / month · 📦 220 · ⏱️ 07.07.2022): ``` pip install holoviews ``` - [Conda](https://anaconda.org/conda-forge/holoviews) (📥 910K · ⏱️ 04.10.2022): ``` conda install -c conda-forge holoviews ``` - [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 920 / month · ⏱️ 24.05.2020): ``` npm install @pyviz/jupyterlab_pyviz ```
PyVista (🥈35 · ⭐ 1.5K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT - [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 110 · 🔀 280 · 📥 660 · 📦 960 · 📋 970 - 29% open · ⏱️ 06.10.2022): ``` git clone https://github.com/pyvista/pyvista ``` - [PyPi](https://pypi.org/project/pyvista) (📥 60K / month · 📦 110 · ⏱️ 30.06.2022): ``` pip install pyvista ``` - [Conda](https://anaconda.org/conda-forge/pyvista) (📥 230K · ⏱️ 01.08.2022): ``` conda install -c conda-forge pyvista ```
Graphviz (🥈34 · ⭐ 1.3K) - Simple Python interface for Graphviz. MIT - [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 19 · 🔀 180 · 📦 35K · 📋 140 - 4% open · ⏱️ 05.09.2022): ``` git clone https://github.com/xflr6/graphviz ``` - [PyPi](https://pypi.org/project/graphviz) (📥 9.2M / month · 📦 3K · ⏱️ 16.04.2022): ``` pip install graphviz ``` - [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 29K · ⏱️ 10.08.2022): ``` conda install -c anaconda python-graphviz ```
pyecharts (🥈33 · ⭐ 13K) - Python Echarts Plotting Library. MIT - [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 31 · 🔀 2.7K · 📦 2.5K · 📋 1.6K - 1% open · ⏱️ 30.08.2022): ``` git clone https://github.com/pyecharts/pyecharts ``` - [PyPi](https://pypi.org/project/pyecharts) (📥 52K / month · 📦 220 · ⏱️ 16.11.2021): ``` pip install pyecharts ```
wordcloud (🥈33 · ⭐ 9K) - A little word cloud generator in Python. MIT - [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 65 · 🔀 2.2K · 📋 500 - 24% open · ⏱️ 27.06.2022): ``` git clone https://github.com/amueller/word_cloud ``` - [PyPi](https://pypi.org/project/wordcloud) (📥 840K / month · 📦 740 · ⏱️ 27.06.2022): ``` pip install wordcloud ``` - [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 330K · ⏱️ 25.08.2022): ``` conda install -c conda-forge wordcloud ```
datashader (🥈33 · ⭐ 2.9K) - Quickly and accurately render even the largest data. BSD-3 - [GitHub](https://github.com/holoviz/datashader) (👨‍💻 51 · 🔀 360 · 📦 1.4K · 📋 520 - 24% open · ⏱️ 26.09.2022): ``` git clone https://github.com/holoviz/datashader ``` - [PyPi](https://pypi.org/project/datashader) (📥 61K / month · 📦 96 · ⏱️ 21.06.2022): ``` pip install datashader ``` - [Conda](https://anaconda.org/conda-forge/datashader) (📥 400K · ⏱️ 10.08.2022): ``` conda install -c conda-forge datashader ```
FiftyOne (🥈33 · ⭐ 2K) - Visualize, create, and debug image and video datasets.. Apache-2 - [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 51 · 🔀 230 · 📦 180 · 📋 950 - 33% open · ⏱️ 06.10.2022): ``` git clone https://github.com/voxel51/fiftyone ``` - [PyPi](https://pypi.org/project/fiftyone) (📥 27K / month · 📦 2 · ⏱️ 24.06.2022): ``` pip install fiftyone ```
plotnine (🥈32 · ⭐ 3.2K) - A grammar of graphics for Python. MIT - [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 96 · 🔀 180 · 📋 520 - 13% open · ⏱️ 04.10.2022): ``` git clone https://github.com/has2k1/plotnine ``` - [PyPi](https://pypi.org/project/plotnine) (📥 360K / month · 📦 220 · ⏱️ 01.07.2022): ``` pip install plotnine ``` - [Conda](https://anaconda.org/conda-forge/plotnine) (📥 200K · ⏱️ 29.09.2022): ``` conda install -c conda-forge plotnine ```
bqplot (🥈31 · ⭐ 3.4K) - Plotting library for IPython/Jupyter notebooks. Apache-2 - [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 59 · 🔀 470 · 📦 35 · 📋 600 - 39% open · ⏱️ 29.09.2022): ``` git clone https://github.com/bqplot/bqplot ``` - [PyPi](https://pypi.org/project/bqplot) (📥 97K / month · 📦 97 · ⏱️ 11.02.2022): ``` pip install bqplot ``` - [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1M · ⏱️ 02.09.2022): ``` conda install -c conda-forge bqplot ``` - [npm](https://www.npmjs.com/package/bqplot) (📥 6.7K / month · 📦 11 · ⏱️ 02.09.2022): ``` npm install bqplot ```
Perspective (🥈30 · ⭐ 4.9K) - A data visualization and analytics component, especially.. Apache-2 - [GitHub](https://github.com/finos/perspective) (👨‍💻 72 · 🔀 520 · 📦 4 · 📋 560 - 16% open · ⏱️ 04.10.2022): ``` git clone https://github.com/finos/perspective ``` - [PyPi](https://pypi.org/project/perspective-python) (📥 2.8K / month · 📦 9 · ⏱️ 06.06.2022): ``` pip install perspective-python ``` - [Conda](https://anaconda.org/conda-forge/perspective) (📥 160K · ⏱️ 10.09.2022): ``` conda install -c conda-forge perspective ``` - [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 1.1K / month · ⏱️ 02.10.2022): ``` npm install @finos/perspective-jupyterlab ```
D-Tale (🥈30 · ⭐ 3.7K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - [GitHub](https://github.com/man-group/dtale) (👨‍💻 28 · 🔀 300 · 📦 510 · 📋 480 - 9% open · ⏱️ 27.09.2022): ``` git clone https://github.com/man-group/dtale ``` - [PyPi](https://pypi.org/project/dtale) (📥 120K / month · 📦 12 · ⏱️ 17.06.2022): ``` pip install dtale ``` - [Conda](https://anaconda.org/conda-forge/dtale) (📥 160K · ⏱️ 09.09.2022): ``` conda install -c conda-forge dtale ```
pythreejs (🥈30 · ⭐ 830) - A Jupyter - Three.js bridge. BSD-3 - [GitHub](https://github.com/jupyter-widgets/pythreejs) (👨‍💻 30 · 🔀 180 · 📦 21 · 📋 220 - 25% open · ⏱️ 25.08.2022): ``` git clone https://github.com/jupyter-widgets/pythreejs ``` - [PyPi](https://pypi.org/project/pythreejs) (📥 75K / month · 📦 42 · ⏱️ 26.02.2021): ``` pip install pythreejs ``` - [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 420K · ⏱️ 06.09.2022): ``` conda install -c conda-forge pythreejs ``` - [npm](https://www.npmjs.com/package/jupyter-threejs) (📥 5.2K / month · 📦 7 · ⏱️ 24.08.2022): ``` npm install jupyter-threejs ```
missingno (🥉29 · ⭐ 3.3K · 💤) - Missing data visualization module for Python. MIT - [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 17 · 🔀 420 · 📦 8.7K · 📋 120 - 6% open · ⏱️ 27.02.2022): ``` git clone https://github.com/ResidentMario/missingno ``` - [PyPi](https://pypi.org/project/missingno) (📥 920K / month · 📦 120 · ⏱️ 27.02.2022): ``` pip install missingno ``` - [Conda](https://anaconda.org/conda-forge/missingno) (📥 230K · ⏱️ 15.02.2020): ``` conda install -c conda-forge missingno ```
mpld3 (🥉29 · ⭐ 2.2K) - D3 Renderings of Matplotlib Graphics. BSD-3 - [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 51 · 🔀 350 · 📦 29 · 📋 360 - 59% open · ⏱️ 03.08.2022): ``` git clone https://github.com/mpld3/mpld3 ``` - [PyPi](https://pypi.org/project/mpld3) (📥 270K / month · 📦 400 · ⏱️ 27.05.2022): ``` pip install mpld3 ``` - [Conda](https://anaconda.org/conda-forge/mpld3) (📥 160K · ⏱️ 27.05.2022): ``` conda install -c conda-forge mpld3 ``` - [npm](https://www.npmjs.com/package/mpld3) (📥 320 / month · 📦 4 · ⏱️ 27.05.2022): ``` npm install mpld3 ```
data-validation (🥉29 · ⭐ 670) - Library for exploring and validating machine learning.. Apache-2 - [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 24 · 🔀 130 · 📥 370 · 📦 550 · 📋 160 - 22% open · ⏱️ 06.10.2022): ``` git clone https://github.com/tensorflow/data-validation ``` - [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 1.2M / month · 📦 28 · ⏱️ 29.06.2022): ``` pip install tensorflow-data-validation ```
hvPlot (🥉29 · ⭐ 660) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 - [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 38 · 🔀 73 · 📦 1.8K · 📋 520 - 40% open · ⏱️ 19.09.2022): ``` git clone https://github.com/holoviz/hvplot ``` - [PyPi](https://pypi.org/project/hvplot) (📥 200K / month · 📦 65 · ⏱️ 23.06.2022): ``` pip install hvplot ``` - [Conda](https://anaconda.org/conda-forge/hvplot) (📥 240K · ⏱️ 26.08.2022): ``` conda install -c conda-forge hvplot ```
AutoViz (🥉27 · ⭐ 960) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 - [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 14 · 🔀 130 · 📦 260 · 📋 60 - 5% open · ⏱️ 03.10.2022): ``` git clone https://github.com/AutoViML/AutoViz ``` - [PyPi](https://pypi.org/project/autoviz) (📥 410K / month · 📦 6 · ⏱️ 17.06.2022): ``` pip install autoviz ``` - [Conda](https://anaconda.org/conda-forge/autoviz) (📥 18K · ⏱️ 03.10.2022): ``` conda install -c conda-forge autoviz ```
lets-plot (🥉26 · ⭐ 790) - An open-source plotting library for statistical data. MIT - [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 17 · 🔀 37 · 📥 320 · 📦 17 · 📋 280 - 24% open · ⏱️ 05.10.2022): ``` git clone https://github.com/JetBrains/lets-plot ``` - [PyPi](https://pypi.org/project/lets-plot) (📥 3.1K / month · 📦 1 · ⏱️ 20.06.2022): ``` pip install lets-plot ```
HyperTools (🥉25 · ⭐ 1.7K · 💤) - A Python toolbox for gaining geometric insights into high-.. MIT - [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 21 · 🔀 160 · 📥 22 · 📦 210 · 📋 190 - 35% open · ⏱️ 12.02.2022): ``` git clone https://github.com/ContextLab/hypertools ``` - [PyPi](https://pypi.org/project/hypertools) (📥 730 / month · 📦 10 · ⏱️ 12.02.2022): ``` pip install hypertools ```
HiPlot (🥉24 · ⭐ 2.4K) - HiPlot makes understanding high dimensional data easy. MIT - [GitHub](https://github.com/facebookresearch/hiplot) (👨‍💻 8 · 🔀 120 · 📦 5 · 📋 82 - 17% open · ⏱️ 05.07.2022): ``` git clone https://github.com/facebookresearch/hiplot ``` - [PyPi](https://pypi.org/project/hiplot) (📥 35K / month · 📦 12 · ⏱️ 05.07.2022): ``` pip install hiplot ``` - [Conda](https://anaconda.org/conda-forge/hiplot) (📥 100K · ⏱️ 31.05.2022): ``` conda install -c conda-forge hiplot ```
openTSNE (🥉24 · ⭐ 1.1K) - Extensible, parallel implementations of t-SNE. BSD-3 - [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 10 · 🔀 120 · 📦 400 · 📋 110 - 3% open · ⏱️ 30.09.2022): ``` git clone https://github.com/pavlin-policar/openTSNE ``` - [PyPi](https://pypi.org/project/opentsne) (📥 22K / month · 📦 11 · ⏱️ 18.03.2022): ``` pip install opentsne ``` - [Conda](https://anaconda.org/conda-forge/opentsne) (📥 160K · ⏱️ 27.05.2022): ``` conda install -c conda-forge opentsne ```
Popmon (🥉24 · ⭐ 380) - Monitor the stability of a Pandas or Spark dataframe. MIT - [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 15 · 🔀 32 · 📥 32 · 📦 17 · 📋 47 - 31% open · ⏱️ 09.09.2022): ``` git clone https://github.com/ing-bank/popmon ``` - [PyPi](https://pypi.org/project/popmon) (📥 22K / month · 📦 2 · ⏱️ 21.06.2022): ``` pip install popmon ```
Sweetviz (🥉23 · ⭐ 2.2K) - Visualize and compare datasets, target values and associations, with one.. MIT - [GitHub](https://github.com/fbdesignpro/sweetviz) (👨‍💻 6 · 🔀 210 · 📋 100 - 30% open · ⏱️ 08.06.2022): ``` git clone https://github.com/fbdesignpro/sweetviz ``` - [PyPi](https://pypi.org/project/sweetviz) (📥 64K / month · 📦 8 · ⏱️ 14.06.2022): ``` pip install sweetviz ``` - [Conda](https://anaconda.org/conda-forge/sweetviz) (📥 15K · ⏱️ 15.06.2022): ``` conda install -c conda-forge sweetviz ```
python-ternary (🥉23 · ⭐ 590 · 💤) - Ternary plotting library for python with matplotlib. MIT - [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 27 · 🔀 140 · 📥 18 · 📦 110 · 📋 130 - 25% open · ⏱️ 27.02.2022): ``` git clone https://github.com/marcharper/python-ternary ``` - [PyPi](https://pypi.org/project/python-ternary) (📥 52K / month · 📦 21 · ⏱️ 17.02.2021): ``` pip install python-ternary ``` - [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 67K · ⏱️ 17.02.2021): ``` conda install -c conda-forge python-ternary ```
vega (🥉23 · ⭐ 330) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 - [GitHub](https://github.com/vega/ipyvega) (👨‍💻 11 · 🔀 59 · 📋 95 - 13% open · ⏱️ 01.10.2022): ``` git clone https://github.com/vega/ipyvega ``` - [PyPi](https://pypi.org/project/vega) (📥 9.3K / month · 📦 84 · ⏱️ 10.02.2022): ``` pip install vega ``` - [Conda](https://anaconda.org/conda-forge/vega) (📥 510K · ⏱️ 10.02.2022): ``` conda install -c conda-forge vega ```
Plotly-Resampler (🥉22 · ⭐ 540) - Visualize large time series data with plotly.py. MIT - [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 8 · 🔀 30 · 📋 65 - 29% open · ⏱️ 25.08.2022): ``` git clone https://github.com/predict-idlab/plotly-resampler ``` - [PyPi](https://pypi.org/project/plotly-resampler) (📥 13K / month · ⏱️ 29.06.2022): ``` pip install plotly-resampler ``` - [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 8K · ⏱️ 25.08.2022): ``` conda install -c conda-forge plotly-resampler ```
Pandas-Bokeh (🥉21 · ⭐ 800 · 💤) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨‍💻 14 · 🔀 100 · 📋 99 - 32% open · ⏱️ 25.03.2022): ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` - [PyPi](https://pypi.org/project/pandas-bokeh) (📥 19K / month · 📦 11 · ⏱️ 11.04.2021): ``` pip install pandas-bokeh ```
joypy (🥉21 · ⭐ 440 · 💤) - Joyplots in Python with matplotlib & pandas. MIT - [GitHub](https://github.com/leotac/joypy) (👨‍💻 6 · 🔀 47 · 📦 200 · 📋 48 - 22% open · ⏱️ 19.12.2021): ``` git clone https://github.com/leotac/joypy ``` - [PyPi](https://pypi.org/project/joypy) (📥 11K / month · 📦 5 · ⏱️ 19.12.2021): ``` pip install joypy ``` - [Conda](https://anaconda.org/conda-forge/joypy) (📥 16K · ⏱️ 28.12.2020): ``` conda install -c conda-forge joypy ```
PyWaffle (🥉20 · ⭐ 510) - Make Waffle Charts in Python. MIT - [GitHub](https://github.com/gyli/PyWaffle) (👨‍💻 6 · 🔀 95 · 📦 160 · 📋 18 - 22% open · ⏱️ 08.06.2022): ``` git clone https://github.com/gyli/PyWaffle ``` - [PyPi](https://pypi.org/project/pywaffle) (📥 7.3K / month · 📦 2 · ⏱️ 08.06.2022): ``` pip install pywaffle ``` - [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 7K · ⏱️ 05.06.2022): ``` conda install -c conda-forge pywaffle ```
Show 15 hidden projects... - cartopy (🥈32 · ⭐ 1.1K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 - Cufflinks (🥉29 · ⭐ 2.7K · 💀) - Productivity Tools for Plotly + Pandas. MIT - Facets Overview (🥉27 · ⭐ 7K · 💀) - Visualizations for machine learning datasets. Apache-2 - Chartify (🥉26 · ⭐ 3.2K · 💀) - Python library that makes it easy for data scientists to create.. Apache-2 - Multicore-TSNE (🥉24 · ⭐ 1.7K · 💀) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - PandasGUI (🥉22 · ⭐ 2.7K · 💤) - A GUI for Pandas DataFrames. ❗️MIT-0 - PDPbox (🥉22 · ⭐ 710 · 💀) - python partial dependence plot toolbox. MIT - pivottablejs (🥉22 · ⭐ 470 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - animatplot (🥉17 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib. MIT - data-describe (🥉17 · ⭐ 290 · 💤) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - ivis (🥉17 · ⭐ 280) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - vegafusion (🥉17 · ⭐ 110) - Serverside acceleration for the Vega visualization grammar. ❗️AGPL-3.0 - pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT - nx-altair (🥉15 · ⭐ 200 · 💀) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (🥉12 · ⭐ 29 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

## Text Data & NLP Back to top _Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
transformers (🥇49 · ⭐ 72K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 - [GitHub](https://github.com/huggingface/transformers) (👨‍💻 1.5K · 🔀 16K · 📥 820 · 📦 36K · 📋 10K - 5% open · ⏱️ 06.10.2022): ``` git clone https://github.com/huggingface/transformers ``` - [PyPi](https://pypi.org/project/transformers) (📥 7.8M / month · 📦 980 · ⏱️ 21.06.2022): ``` pip install transformers ``` - [Conda](https://anaconda.org/conda-forge/transformers) (📥 490K · ⏱️ 28.09.2022): ``` conda install -c conda-forge transformers ```
spaCy (🥇44 · ⭐ 24K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT - [GitHub](https://github.com/explosion/spaCy) (👨‍💻 700 · 🔀 3.9K · 📥 3.1K · 📦 44K · 📋 5.2K - 1% open · ⏱️ 04.10.2022): ``` git clone https://github.com/explosion/spaCy ``` - [PyPi](https://pypi.org/project/spacy) (📥 4.8M / month · 📦 2.4K · ⏱️ 05.04.2022): ``` pip install spacy ``` - [Conda](https://anaconda.org/conda-forge/spacy) (📥 2.8M · ⏱️ 27.07.2022): ``` conda install -c conda-forge spacy ```
nltk (🥇44 · ⭐ 11K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 - [GitHub](https://github.com/nltk/nltk) (👨‍💻 440 · 🔀 2.6K · 📦 160K · 📋 1.7K - 13% open · ⏱️ 04.10.2022): ``` git clone https://github.com/nltk/nltk ``` - [PyPi](https://pypi.org/project/nltk) (📥 11M / month · 📦 12K · ⏱️ 09.02.2022): ``` pip install nltk ``` - [Conda](https://anaconda.org/conda-forge/nltk) (📥 1.5M · ⏱️ 29.12.2021): ``` conda install -c conda-forge nltk ```
gensim (🥇40 · ⭐ 14K) - Topic Modelling for Humans. ❗️LGPL-2.1 - [GitHub](https://github.com/RaRe-Technologies/gensim) (👨‍💻 430 · 🔀 4.3K · 📥 3.8K · 📦 37K · 📋 1.8K - 21% open · ⏱️ 02.10.2022): ``` git clone https://github.com/RaRe-Technologies/gensim ``` - [PyPi](https://pypi.org/project/gensim) (📥 4.8M / month · 📦 2.9K · ⏱️ 01.05.2022): ``` pip install gensim ``` - [Conda](https://anaconda.org/conda-forge/gensim) (📥 890K · ⏱️ 29.07.2022): ``` conda install -c conda-forge gensim ```
Rasa (🥇39 · ⭐ 15K) - Open source machine learning framework to automate text- and voice-.. Apache-2 - [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 550 · 🔀 4.1K · 📋 6.7K - 13% open · ⏱️ 04.10.2022): ``` git clone https://github.com/RasaHQ/rasa ``` - [PyPi](https://pypi.org/project/rasa) (📥 200K / month · 📦 60 · ⏱️ 06.07.2022): ``` pip install rasa ```
flair (🥇39 · ⭐ 12K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT - [GitHub](https://github.com/flairNLP/flair) (👨‍💻 230 · 🔀 1.9K · 📦 1.6K · 📋 2K - 5% open · ⏱️ 03.09.2022): ``` git clone https://github.com/flairNLP/flair ``` - [PyPi](https://pypi.org/project/flair) (📥 180K / month · 📦 76 · ⏱️ 20.05.2022): ``` pip install flair ``` - [Conda](https://anaconda.org/conda-forge/python-flair) (📥 12K · ⏱️ 21.05.2022): ``` conda install -c conda-forge python-flair ```
fairseq (🥇38 · ⭐ 19K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT - [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 410 · 🔀 4.9K · 📥 270 · 📦 960 · 📋 3.7K - 20% open · ⏱️ 06.10.2022): ``` git clone https://github.com/facebookresearch/fairseq ``` - [PyPi](https://pypi.org/project/fairseq) (📥 100K / month · 📦 39 · ⏱️ 27.06.2022): ``` pip install fairseq ``` - [Conda](https://anaconda.org/conda-forge/fairseq) (📥 19K · ⏱️ 13.07.2022): ``` conda install -c conda-forge fairseq ```
AllenNLP (🥇37 · ⭐ 11K) - An open-source NLP research library, built on PyTorch. Apache-2 - [GitHub](https://github.com/allenai/allennlp) (👨‍💻 260 · 🔀 2.2K · 📥 47 · 📦 2.8K · 📋 2.5K - 3% open · ⏱️ 28.09.2022): ``` git clone https://github.com/allenai/allennlp ``` - [PyPi](https://pypi.org/project/allennlp) (📥 80K / month · 📦 180 · ⏱️ 14.04.2022): ``` pip install allennlp ``` - [Conda](https://anaconda.org/conda-forge/allennlp) (📥 84K · ⏱️ 15.07.2022): ``` conda install -c conda-forge allennlp ```
sentence-transformers (🥇37 · ⭐ 8.6K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 - [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 100 · 🔀 1.7K · 📦 4.3K · 📋 1.5K - 52% open · ⏱️ 30.09.2022): ``` git clone https://github.com/UKPLab/sentence-transformers ``` - [PyPi](https://pypi.org/project/sentence-transformers) (📥 1.5M / month · 📦 130 · ⏱️ 26.06.2022): ``` pip install sentence-transformers ``` - [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 37K · ⏱️ 27.06.2022): ``` conda install -c conda-forge sentence-transformers ```
sentencepiece (🥇36 · ⭐ 6.2K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 - [GitHub](https://github.com/google/sentencepiece) (👨‍💻 69 · 🔀 840 · 📥 22K · 📦 18K · 📋 560 - 5% open · ⏱️ 09.09.2022): ``` git clone https://github.com/google/sentencepiece ``` - [PyPi](https://pypi.org/project/sentencepiece) (📥 6M / month · 📦 410 · ⏱️ 18.06.2021): ``` pip install sentencepiece ``` - [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 240K · ⏱️ 08.04.2022): ``` conda install -c conda-forge sentencepiece ```
spark-nlp (🥇36 · ⭐ 3K) - State of the Art Natural Language Processing. Apache-2 - [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 130 · 🔀 600 · 📋 730 - 6% open · ⏱️ 06.10.2022): ``` git clone https://github.com/JohnSnowLabs/spark-nlp ``` - [PyPi](https://pypi.org/project/spark-nlp) (📥 2.7M / month · 📦 13 · ⏱️ 01.07.2022): ``` pip install spark-nlp ```
ParlAI (🥈35 · ⭐ 9.5K) - A framework for training and evaluating AI models on a variety of.. MIT - [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 200 · 🔀 1.9K · 📦 88 · 📋 1.5K - 7% open · ⏱️ 23.09.2022): ``` git clone https://github.com/facebookresearch/ParlAI ``` - [PyPi](https://pypi.org/project/parlai) (📥 3.6K / month · 📦 3 · ⏱️ 30.03.2022): ``` pip install parlai ```
stanza (🥈35 · ⭐ 6.3K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 - [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 54 · 🔀 820 · 📦 1.2K · 📋 730 - 9% open · ⏱️ 15.09.2022): ``` git clone https://github.com/stanfordnlp/stanza ``` - [PyPi](https://pypi.org/project/stanza) (📥 220K / month · 📦 70 · ⏱️ 23.04.2022): ``` pip install stanza ``` - [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 5.8K · ⏱️ 14.09.2022): ``` conda install -c stanfordnlp stanza ```
fastText (🥈34 · ⭐ 24K · 💤) - Library for fast text representation and classification. MIT - [GitHub](https://github.com/facebookresearch/fastText) (👨‍💻 59 · 🔀 4.5K · 📦 3.3K · 📋 1.1K - 45% open · ⏱️ 04.03.2022): ``` git clone https://github.com/facebookresearch/fastText ``` - [PyPi](https://pypi.org/project/fasttext) (📥 880K / month · 📦 190 · ⏱️ 28.04.2020): ``` pip install fasttext ``` - [Conda](https://anaconda.org/conda-forge/fasttext) (📥 39K · ⏱️ 16.04.2022): ``` conda install -c conda-forge fasttext ```
TextBlob (🥈34 · ⭐ 8.3K · 💤) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT - [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 36 · 🔀 1.1K · 📥 100 · 📦 23K · 📋 260 - 39% open · ⏱️ 22.10.2021): ``` git clone https://github.com/sloria/TextBlob ``` - [PyPi](https://pypi.org/project/textblob) (📥 980K / month · 📦 1.4K · ⏱️ 15.12.2021): ``` pip install textblob ``` - [Conda](https://anaconda.org/conda-forge/textblob) (📥 180K · ⏱️ 24.02.2019): ``` conda install -c conda-forge textblob ```
torchtext (🥈34 · ⭐ 3.1K) - Data loaders and abstractions for text and NLP. BSD-3 - [GitHub](https://github.com/pytorch/text) (👨‍💻 140 · 🔀 740 · 📋 750 - 39% open · ⏱️ 05.10.2022): ``` git clone https://github.com/pytorch/text ``` - [PyPi](https://pypi.org/project/torchtext) (📥 270K / month · 📦 440 · ⏱️ 28.06.2022): ``` pip install torchtext ```
OpenNMT (🥈33 · ⭐ 5.7K) - Open Source Neural Machine Translation in PyTorch. MIT - [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 180 · 🔀 2.1K · 📦 150 · 📋 1.4K - 8% open · ⏱️ 16.09.2022): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` - [PyPi](https://pypi.org/project/OpenNMT-py) (📥 3.3K / month · 📦 9 · ⏱️ 14.09.2021): ``` pip install OpenNMT-py ```
NeMo (🥈33 · ⭐ 4.8K) - NeMo: a toolkit for conversational AI. Apache-2 - [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 180 · 🔀 1.2K · 📥 21K · 📋 1.4K - 9% open · ⏱️ 06.10.2022): ``` git clone https://github.com/NVIDIA/NeMo ``` - [PyPi](https://pypi.org/project/nemo-toolkit) (📥 14K / month · 📦 7 · ⏱️ 01.07.2022): ``` pip install nemo-toolkit ```
Tokenizers (🥈32 · ⭐ 5.9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 - [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 60 · 🔀 500 · 📦 52 · 📋 680 - 31% open · ⏱️ 06.10.2022): ``` git clone https://github.com/huggingface/tokenizers ``` - [PyPi](https://pypi.org/project/tokenizers) (📥 7.4M / month · 📦 130 · ⏱️ 13.04.2022): ``` pip install tokenizers ``` - [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 450K · ⏱️ 21.05.2022): ``` conda install -c conda-forge tokenizers ```
haystack (🥈32 · ⭐ 5.6K) - Haystack is an open source NLP framework that leverages pre-trained.. Apache-2 - [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 140 · 🔀 900 · 📥 15 · 📋 1.6K - 16% open · ⏱️ 06.10.2022): ``` git clone https://github.com/deepset-ai/haystack ``` - [PyPi](https://pypi.org/project/haystack) (📥 1.2K / month · 📦 85 · ⏱️ 15.12.2021): ``` pip install haystack ```
Dedupe (🥈32 · ⭐ 3.5K) - A python library for accurate and scalable fuzzy matching, record.. MIT - [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 66 · 🔀 480 · 📋 770 - 8% open · ⏱️ 29.09.2022): ``` git clone https://github.com/dedupeio/dedupe ``` - [PyPi](https://pypi.org/project/dedupe) (📥 260K / month · 📦 48 · ⏱️ 06.07.2022): ``` pip install dedupe ``` - [Conda](https://anaconda.org/conda-forge/dedupe) (📥 13K · ⏱️ 15.09.2022): ``` conda install -c conda-forge dedupe ```
TensorFlow Text (🥈31 · ⭐ 990) - Making text a first-class citizen in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/text) (👨‍💻 95 · 🔀 240 · 📦 2.3K · 📋 240 - 40% open · ⏱️ 03.10.2022): ``` git clone https://github.com/tensorflow/text ``` - [PyPi](https://pypi.org/project/tensorflow-text) (📥 2M / month · 📦 83 · ⏱️ 18.05.2022): ``` pip install tensorflow-text ```
DeepPavlov (🥈30 · ⭐ 5.9K) - An open source library for deep learning end-to-end dialog.. Apache-2 - [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 67 · 🔀 1.1K · 📦 290 · 📋 620 - 8% open · ⏱️ 16.09.2022): ``` git clone https://github.com/deepmipt/DeepPavlov ``` - [PyPi](https://pypi.org/project/deeppavlov) (📥 9.2K / month · 📦 6 · ⏱️ 31.05.2022): ``` pip install deeppavlov ```
TextDistance (🥈30 · ⭐ 3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT - [GitHub](https://github.com/life4/textdistance) (👨‍💻 13 · 🔀 230 · 📥 840 · 📦 2.8K · ⏱️ 18.09.2022): ``` git clone https://github.com/life4/textdistance ``` - [PyPi](https://pypi.org/project/textdistance) (📥 760K / month · 📦 43 · ⏱️ 29.06.2022): ``` pip install textdistance ``` - [Conda](https://anaconda.org/conda-forge/textdistance) (📥 220K · ⏱️ 18.09.2022): ``` conda install -c conda-forge textdistance ```
jellyfish (🥈30 · ⭐ 1.7K) - a python library for doing approximate and phonetic matching of.. BSD-2 - [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 27 · 🔀 150 · 📦 4.3K · 📋 110 - 9% open · ⏱️ 17.09.2022): ``` git clone https://github.com/jamesturk/jellyfish ``` - [PyPi](https://pypi.org/project/jellyfish) (📥 2.4M / month · 📦 400 · ⏱️ 07.01.2022): ``` pip install jellyfish ``` - [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 340K · ⏱️ 08.04.2022): ``` conda install -c conda-forge jellyfish ```
SciSpacy (🥈30 · ⭐ 1.2K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 - [GitHub](https://github.com/allenai/scispacy) (👨‍💻 26 · 🔀 170 · 📦 520 · 📋 270 - 10% open · ⏱️ 07.09.2022): ``` git clone https://github.com/allenai/scispacy ``` - [PyPi](https://pypi.org/project/scispacy) (📥 29K / month · 📦 19 · ⏱️ 10.03.2022): ``` pip install scispacy ```
snowballstemmer (🥈30 · ⭐ 590 · 💤) - Snowball compiler and stemming algorithms. BSD-3 - [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 28 · 🔀 160 · 📦 4 · 📋 77 - 42% open · ⏱️ 17.12.2021): ``` git clone https://github.com/snowballstem/snowball ``` - [PyPi](https://pypi.org/project/snowballstemmer) (📥 8.3M / month · 📦 6.7K · ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` - [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 5.2M · ⏱️ 17.11.2021): ``` conda install -c conda-forge snowballstemmer ```
nlpaug (🥈29 · ⭐ 3.6K) - Data augmentation for NLP. MIT - [GitHub](https://github.com/makcedward/nlpaug) (👨‍💻 33 · 🔀 400 · 📦 430 · 📋 190 - 20% open · ⏱️ 07.07.2022): ``` git clone https://github.com/makcedward/nlpaug ``` - [PyPi](https://pypi.org/project/nlpaug) (📥 120K / month · 📦 19 · ⏱️ 07.07.2022): ``` pip install nlpaug ``` - [Conda](https://anaconda.org/conda-forge/nlpaug) (📥 5K · ⏱️ 07.07.2022): ``` conda install -c conda-forge nlpaug ```
PyText (🥈28 · ⭐ 6.3K) - A natural language modeling framework based on PyTorch. BSD-3 - [GitHub](https://github.com/facebookresearch/pytext) (👨‍💻 230 · 🔀 800 · 📥 310 · 📦 110 · 📋 220 - 66% open · ⏱️ 27.09.2022): ``` git clone https://github.com/facebookresearch/pytext ``` - [PyPi](https://pypi.org/project/pytext-nlp) (📥 160 / month · 📦 1 · ⏱️ 08.06.2020): ``` pip install pytext-nlp ```
Sumy (🥈28 · ⭐ 2.9K) - Module for automatic summarization of text documents and HTML pages. Apache-2 - [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 23 · 🔀 480 · 📦 1.4K · 📋 110 - 14% open · ⏱️ 26.08.2022): ``` git clone https://github.com/miso-belica/sumy ``` - [PyPi](https://pypi.org/project/sumy) (📥 20K / month · 📦 100 · ⏱️ 21.04.2022): ``` pip install sumy ``` - [Conda](https://anaconda.org/conda-forge/sumy) (📥 2.5K · ⏱️ 22.04.2022): ``` conda install -c conda-forge sumy ```
fastNLP (🥈28 · ⭐ 2.7K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 - [GitHub](https://github.com/fastnlp/fastNLP) (👨‍💻 60 · 🔀 430 · 📥 66 · 📦 95 · 📋 200 - 24% open · ⏱️ 06.10.2022): ``` git clone https://github.com/fastnlp/fastNLP ``` - [PyPi](https://pypi.org/project/fastnlp) (📥 7K / month · 📦 3 · ⏱️ 04.02.2019): ``` pip install fastnlp ```
textacy (🥈28 · ⭐ 2K · 💤) - NLP, before and after spaCy. Apache-2 - [GitHub](https://github.com/chartbeat-labs/textacy) (👨‍💻 32 · 🔀 240 · 📋 250 - 11% open · ⏱️ 06.03.2022): ``` git clone https://github.com/chartbeat-labs/textacy ``` - [PyPi](https://pypi.org/project/textacy) (📥 34K / month · 📦 100 · ⏱️ 06.12.2021): ``` pip install textacy ``` - [Conda](https://anaconda.org/conda-forge/textacy) (📥 120K · ⏱️ 06.02.2022): ``` conda install -c conda-forge textacy ```
CLTK (🥈28 · ⭐ 740) - The Classical Language Toolkit. MIT - [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 310 · 📥 25 · 📦 210 · 📋 530 - 5% open · ⏱️ 30.08.2022): ``` git clone https://github.com/cltk/cltk ``` - [PyPi](https://pypi.org/project/cltk) (📥 1.3K / month · 📦 42 · ⏱️ 09.06.2022): ``` pip install cltk ```
Ciphey (🥈27 · ⭐ 11K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT - [GitHub](https://github.com/Ciphey/Ciphey) (👨‍💻 46 · 🔀 660 · 📋 290 - 16% open · ⏱️ 28.06.2022): ``` git clone https://github.com/Ciphey/Ciphey ``` - [PyPi](https://pypi.org/project/ciphey) (📥 31K / month · ⏱️ 06.06.2021): ``` pip install ciphey ``` - [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 17K · ⭐ 8 · ⏱️ 27.05.2022): ``` docker pull remnux/ciphey ```
english-words (🥈27 · ⭐ 8.2K) - A text file containing 479k English words for all your.. Unlicense - [GitHub](https://github.com/dwyl/english-words) (👨‍💻 29 · 🔀 1.5K · 📋 100 - 68% open · ⏱️ 07.09.2022): ``` git clone https://github.com/dwyl/english-words ``` - [PyPi](https://pypi.org/project/english-words) (📥 95K / month · 📦 6 · ⏱️ 29.01.2022): ``` pip install english-words ```
T5 (🥈27 · ⭐ 4.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 51 · 🔀 600 · 📦 120 · 📋 400 - 15% open · ⏱️ 19.09.2022): ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` - [PyPi](https://pypi.org/project/t5) (📥 12K / month · 📦 2 · ⏱️ 18.10.2021): ``` pip install t5 ```
vaderSentiment (🥈27 · ⭐ 3.7K) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT - [GitHub](https://github.com/cjhutto/vaderSentiment) (👨‍💻 11 · 🔀 890 · 📦 4.2K · 📋 110 - 32% open · ⏱️ 01.04.2022): ``` git clone https://github.com/cjhutto/vaderSentiment ``` - [PyPi](https://pypi.org/project/vadersentiment) (📥 200K / month · 📦 170 · ⏱️ 22.05.2020): ``` pip install vadersentiment ``` - [Conda](https://anaconda.org/conda-forge/vadersentiment) (📥 9.8K · ⏱️ 22.03.2021): ``` conda install -c conda-forge vadersentiment ```
ftfy (🥈27 · ⭐ 3.3K · 💤) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT - [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 18 · 🔀 110 · 📋 130 - 9% open · ⏱️ 09.02.2022): ``` git clone https://github.com/rspeer/python-ftfy ``` - [PyPi](https://pypi.org/project/ftfy) (📥 2.6M / month · 📦 490 · ⏱️ 09.02.2022): ``` pip install ftfy ``` - [Conda](https://anaconda.org/conda-forge/ftfy) (📥 190K · ⏱️ 13.03.2022): ``` conda install -c conda-forge ftfy ```
PyTextRank (🥈27 · ⭐ 1.9K · 📉) - Python implementation of TextRank algorithms (textgraphs) for.. MIT - [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 18 · 🔀 330 · 📦 290 · 📋 89 - 19% open · ⏱️ 27.07.2022): ``` git clone https://github.com/DerwenAI/pytextrank ``` - [PyPi](https://pypi.org/project/pytextrank) (📥 70K / month · 📦 13 · ⏱️ 06.03.2022): ``` pip install pytextrank ```
spacy-transformers (🥈27 · ⭐ 1.2K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy - [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 18 · 🔀 150 · 📦 660 · ⏱️ 23.08.2022): ``` git clone https://github.com/explosion/spacy-transformers ``` - [PyPi](https://pypi.org/project/spacy-transformers) (📥 120K / month · 📦 22 · ⏱️ 05.07.2022): ``` pip install spacy-transformers ``` - [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 5.2K · ⏱️ 13.08.2022): ``` conda install -c conda-forge spacy-transformers ```
scattertext (🥉25 · ⭐ 2K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 12 · 🔀 260 · 📦 310 · 📋 90 - 18% open · ⏱️ 06.10.2022): ``` git clone https://github.com/JasonKessler/scattertext ``` - [PyPi](https://pypi.org/project/scattertext) (📥 3.8K / month · 📦 10 · ⏱️ 26.03.2022): ``` pip install scattertext ``` - [Conda](https://anaconda.org/conda-forge/scattertext) (📥 69K · ⏱️ 06.10.2022): ``` conda install -c conda-forge scattertext ```
DeepKE (🥉25 · ⭐ 1.4K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT - [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 13 · 🔀 360 · 📦 6 · 📋 140 - 0% open · ⏱️ 04.10.2022): ``` git clone https://github.com/zjunlp/deepke ``` - [PyPi](https://pypi.org/project/deepke) (📥 1.7K / month · ⏱️ 05.07.2022): ``` pip install deepke ```
rubrix (🥉25 · ⭐ 1.3K) - Rubrix, open-source framework for data-centric NLP. Data annotation.. Apache-2 - [GitHub](https://github.com/recognai/rubrix) (👨‍💻 26 · 🔀 120 · 📋 600 - 4% open · ⏱️ 05.10.2022): ``` git clone https://github.com/recognai/rubrix ``` - [PyPi](https://pypi.org/project/rubrix) (📥 1.4K / month · ⏱️ 08.06.2022): ``` pip install rubrix ``` - [Conda](https://anaconda.org/conda-forge/rubrix) (📥 12K · ⏱️ 06.10.2022): ``` conda install -c conda-forge rubrix ```
OpenPrompt (🥉24 · ⭐ 2K) - An Open-Source Framework for Prompt-Learning. Apache-2 - [GitHub](https://github.com/thunlp/OpenPrompt) (👨‍💻 17 · 🔀 200 · 📦 21 · 📋 160 - 16% open · ⏱️ 19.09.2022): ``` git clone https://github.com/thunlp/OpenPrompt ``` - [PyPi](https://pypi.org/project/openprompt) (📥 1.3K / month · ⏱️ 06.07.2022): ``` pip install openprompt ```
promptsource (🥉24 · ⭐ 800) - Toolkit for creating, sharing and using natural language.. Apache-2 - [GitHub](https://github.com/bigscience-workshop/promptsource) (👨‍💻 58 · 🔀 160 · 📦 12 · 📋 160 - 14% open · ⏱️ 08.07.2022): ``` git clone https://github.com/bigscience-workshop/promptsource ``` - [PyPi](https://pypi.org/project/promptsource) (📥 1.5K / month · ⏱️ 18.04.2022): ``` pip install promptsource ```
qdrant (🥉23 · ⭐ 2.6K) - Qdrant - Vector Search Engine for the next generation of AI.. Apache-2 - [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 28 · 🔀 120 · 📋 320 - 14% open · ⏱️ 30.09.2022): ``` git clone https://github.com/qdrant/qdrant ```
fast-bert (🥉23 · ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 - [GitHub](https://github.com/utterworks/fast-bert) (👨‍💻 36 · 🔀 340 · 📋 250 - 62% open · ⏱️ 27.09.2022): ``` git clone https://github.com/utterworks/fast-bert ``` - [PyPi](https://pypi.org/project/fast-bert) (📥 1.6K / month · 📦 2 · ⏱️ 03.06.2022): ``` pip install fast-bert ```
Sockeye (🥉23 · ⭐ 1.1K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 - [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 58 · 🔀 310 · 📥 15 · 📋 290 - 2% open · ⏱️ 01.10.2022): ``` git clone https://github.com/awslabs/sockeye ``` - [PyPi](https://pypi.org/project/sockeye) (📥 850 / month · 📦 2 · ⏱️ 05.05.2022): ``` pip install sockeye ```
gpt-2-simple (🥉22 · ⭐ 3K) - Python package to easily retrain OpenAIs GPT-2 text-generating.. MIT - [GitHub](https://github.com/minimaxir/gpt-2-simple) (👨‍💻 21 · 🔀 600 · 📥 350 · 📋 250 - 61% open · ⏱️ 22.05.2022): ``` git clone https://github.com/minimaxir/gpt-2-simple ``` - [PyPi](https://pypi.org/project/gpt-2-simple) (📥 6K / month · 📦 5 · ⏱️ 18.10.2021): ``` pip install gpt-2-simple ```
Texthero (🥉22 · ⭐ 2.6K) - Text preprocessing, representation and visualization from zero to hero. MIT - [GitHub](https://github.com/jbesomi/texthero) (👨‍💻 19 · 🔀 210 · 📥 92 · 📋 140 - 55% open · ⏱️ 19.07.2022): ``` git clone https://github.com/jbesomi/texthero ``` - [PyPi](https://pypi.org/project/texthero) (📥 20K / month · 📦 4 · ⏱️ 01.07.2021): ``` pip install texthero ```
lightseq (🥉22 · ⭐ 2.3K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 - [GitHub](https://github.com/bytedance/lightseq) (👨‍💻 13 · 🔀 250 · 📥 650 · 📋 220 - 55% open · ⏱️ 27.09.2022): ``` git clone https://github.com/bytedance/lightseq ``` - [PyPi](https://pypi.org/project/lightseq) (📥 1.8K / month · 📦 1 · ⏱️ 26.01.2022): ``` pip install lightseq ```
FARM (🥉22 · ⭐ 1.6K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2 - [GitHub](https://github.com/deepset-ai/FARM) (👨‍💻 37 · 🔀 220 · 📋 440 - 8% open · ⏱️ 31.08.2022): ``` git clone https://github.com/deepset-ai/FARM ``` - [PyPi](https://pypi.org/project/farm) (📥 4K / month · 📦 2 · ⏱️ 10.06.2021): ``` pip install farm ``` - [Conda](https://anaconda.org/conda-forge/farm) (📥 1.7K · ⏱️ 14.06.2021): ``` conda install -c conda-forge farm ```
jiant (🥉22 · ⭐ 1.4K) - jiant is an nlp toolkit. MIT - [GitHub](https://github.com/nyu-mll/jiant) (👨‍💻 58 · 🔀 270 · 📦 2 · 📋 550 - 11% open · ⏱️ 23.06.2022): ``` git clone https://github.com/nyu-mll/jiant ``` - [PyPi](https://pypi.org/project/jiant) (📥 45 / month · ⏱️ 10.05.2021): ``` pip install jiant ```
NLP Architect (🥉21 · ⭐ 2.9K) - A model library for exploring state-of-the-art deep learning.. Apache-2 - [GitHub](https://github.com/IntelLabs/nlp-architect) (👨‍💻 37 · 🔀 450 · 📦 8 · 📋 130 - 16% open · ⏱️ 29.06.2022): ``` git clone https://github.com/IntelLabs/nlp-architect ``` - [PyPi](https://pypi.org/project/nlp-architect) (📥 120 / month · ⏱️ 12.04.2020): ``` pip install nlp-architect ```
finetune (🥉21 · ⭐ 660) - Scikit-learn style model finetuning for NLP. MPL-2.0 - [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 19 · 🔀 71 · 📦 9 · 📋 140 - 15% open · ⏱️ 16.06.2022): ``` git clone https://github.com/IndicoDataSolutions/finetune ``` - [PyPi](https://pypi.org/project/finetune) (📥 180 / month · 📦 2 · ⏱️ 20.12.2021): ``` pip install finetune ```
detoxify (🥉21 · ⭐ 480) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 - [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 8 · 🔀 67 · 📥 82K · 📦 130 · 📋 38 - 52% open · ⏱️ 03.10.2022): ``` git clone https://github.com/unitaryai/detoxify ``` - [PyPi](https://pypi.org/project/detoxify) (📥 30K / month · 📦 2 · ⏱️ 12.04.2022): ``` pip install detoxify ```
small-text (🥉21 · ⭐ 350) - Active Learning for Text Classification in Python. MIT - [GitHub](https://github.com/webis-de/small-text) (👨‍💻 2 · 🔀 33 · 📦 13 · 📋 19 - 21% open · ⏱️ 01.10.2022): ``` git clone https://github.com/webis-de/small-text ``` - [PyPi](https://pypi.org/project/small-text) (📥 370 / month · ⏱️ 14.06.2022): ``` pip install small-text ``` - [Conda](https://anaconda.org/conda-forge/small-text) (📥 600 · ⏱️ 01.10.2022): ``` conda install -c conda-forge small-text ```
happy-transformer (🥉21 · ⭐ 330) - A package built on top of Hugging Faces transformers.. Apache-2 huggingface - [GitHub](https://github.com/EricFillion/happy-transformer) (👨‍💻 14 · 🔀 43 · 📦 86 · 📋 100 - 10% open · ⏱️ 22.08.2022): ``` git clone https://github.com/EricFillion/happy-transformer ``` - [PyPi](https://pypi.org/project/happytransformer) (📥 3.7K / month · 📦 1 · ⏱️ 06.02.2022): ``` pip install happytransformer ```
TextBox (🥉20 · ⭐ 390) - TextBox 2.0 is a text generation library with pre-trained language models. MIT - [GitHub](https://github.com/RUCAIBox/TextBox) (👨‍💻 15 · 🔀 68 · 📦 5 · 📋 23 - 13% open · ⏱️ 06.10.2022): ``` git clone https://github.com/RUCAIBox/TextBox ``` - [PyPi](https://pypi.org/project/textbox) (📥 48 / month · ⏱️ 15.04.2021): ``` pip install textbox ```
fastT5 (🥉17 · ⭐ 360) - boost inference speed of T5 models by 5x & reduce the model size by 3x. Apache-2 - [GitHub](https://github.com/Ki6an/fastT5) (👨‍💻 5 · 🔀 43 · 📦 24 · 📋 52 - 23% open · ⏱️ 05.04.2022): ``` git clone https://github.com/Ki6an/fastT5 ``` - [PyPi](https://pypi.org/project/fastt5) (📥 1K / month · ⏱️ 05.04.2022): ``` pip install fastt5 ```
OpenNRE (🥉16 · ⭐ 3.8K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - [GitHub](https://github.com/thunlp/OpenNRE) (👨‍💻 10 · 🔀 950 · 📋 360 - 5% open · ⏱️ 06.04.2022): ``` git clone https://github.com/thunlp/OpenNRE ```
Translate (🥉15 · ⭐ 760) - Translate - a PyTorch Language Library. BSD-3 - [GitHub](https://github.com/pytorch/translate) (👨‍💻 87 · 🔀 200 · 📋 55 - 50% open · ⏱️ 10.06.2022): ``` git clone https://github.com/pytorch/translate ``` - [PyPi](https://pypi.org/project/pytorch-translate) (📥 7 / month · ⏱️ 01.05.2018): ``` pip install pytorch-translate ```
VizSeq (🥉13 · ⭐ 400) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 3 · 🔀 49 · 📦 6 · 📋 16 - 43% open · ⏱️ 20.07.2022): ``` git clone https://github.com/facebookresearch/vizseq ``` - [PyPi](https://pypi.org/project/vizseq) (📥 100 / month · ⏱️ 07.08.2020): ``` pip install vizseq ```
Show 37 hidden projects... - ChatterBot (🥇36 · ⭐ 13K · 💀) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - fuzzywuzzy (🥈32 · ⭐ 8.8K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0 - GluonNLP (🥈30 · ⭐ 2.4K · 💀) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - neuralcoref (🥈27 · ⭐ 2.6K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - langid (🥈27 · ⭐ 2K · 💀) - Stand-alone language identification system. BSD-3 - flashtext (🥉26 · ⭐ 5.3K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT - textgenrnn (🥉25 · ⭐ 4.8K · 💀) - Easily train your own text-generating neural network of any.. MIT - Snips NLU (🥉25 · ⭐ 3.7K · 💀) - Snips Python library to extract meaning from text. Apache-2 - polyglot (🥉25 · ⭐ 2.1K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - underthesea (🥉25 · ⭐ 1K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - MatchZoo (🥉24 · ⭐ 3.7K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 - pytorch-nlp (🥉24 · ⭐ 2.1K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - sense2vec (🥉24 · ⭐ 1.4K · 💀) - Contextually-keyed word vectors. MIT - whoosh (🥉24 · ⭐ 300 · 💤) - Pure-Python full-text search library. ❗️BSD-1-Clause - Kashgari (🥉23 · ⭐ 2.3K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - YouTokenToMe (🥉23 · ⭐ 820 · 💀) - Unsupervised text tokenizer focused on computational efficiency. MIT - DeepMatcher (🥉22 · ⭐ 4.4K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3 - Texar (🥉22 · ⭐ 2.3K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - anaGo (🥉22 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - pySBD (🥉22 · ⭐ 490 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - stop-words (🥉22 · ⭐ 140 · 💀) - Get list of common stop words in various languages in Python. BSD-3 - DELTA (🥉21 · ⭐ 1.5K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 - pyfasttext (🥉20 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0 - textpipe (🥉19 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT - NeuroNER (🥉18 · ⭐ 1.6K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (🥉18 · ⭐ 630 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - textaugment (🥉18 · ⭐ 270) - TextAugment: Text Augmentation Library. MIT - skift (🥉17 · ⭐ 230) - scikit-learn wrappers for Python fastText. MIT - Camphr (🥉16 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - numerizer (🥉16 · ⭐ 180) - A Python module to convert natural language numerics into ints and.. MIT - spacy-dbpedia-spotlight (🥉16 · ⭐ 76 · 📈) - A spaCy wrapper for DBpedia Spotlight. MIT spacy - NeuralQA (🥉15 · ⭐ 220 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - BLINK (🥉14 · ⭐ 950 · 💀) - Entity Linker solution. MIT - TransferNLP (🥉14 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT - Headliner (🥉14 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT - ONNX-T5 (🥉14 · ⭐ 210 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - textvec (🥉13 · ⭐ 180) - Text vectorization tool to outperform TFIDF for classification tasks. MIT

## Image Data Back to top _Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._
Pillow (🥇47 · ⭐ 10K) - The friendly PIL fork (Python Imaging Library). ❗️PIL - [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 410 · 🔀 1.9K · 📦 860K · 📋 2.7K - 4% open · ⏱️ 03.10.2022): ``` git clone https://github.com/python-pillow/Pillow ``` - [PyPi](https://pypi.org/project/Pillow) (📥 47M / month · 📦 63K · ⏱️ 01.07.2022): ``` pip install Pillow ``` - [Conda](https://anaconda.org/conda-forge/pillow) (📥 19M · ⏱️ 13.08.2022): ``` conda install -c conda-forge pillow ```
scikit-image (🥇44 · ⭐ 5.1K) - Image processing in Python. BSD-2 - [GitHub](https://github.com/scikit-image/scikit-image) (👨‍💻 570 · 🔀 2K · 📦 110K · 📋 2.5K - 25% open · ⏱️ 05.10.2022): ``` git clone https://github.com/scikit-image/scikit-image ``` - [PyPi](https://pypi.org/project/scikit-image) (📥 5M / month · 📦 9.4K · ⏱️ 12.06.2022): ``` pip install scikit-image ``` - [Conda](https://anaconda.org/conda-forge/scikit-image) (📥 4M · ⏱️ 10.08.2022): ``` conda install -c conda-forge scikit-image ```
torchvision (🥇42 · ⭐ 13K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 - [GitHub](https://github.com/pytorch/vision) (👨‍💻 510 · 🔀 6.2K · 📥 13K · 📋 2.7K - 28% open · ⏱️ 06.10.2022): ``` git clone https://github.com/pytorch/vision ``` - [PyPi](https://pypi.org/project/torchvision) (📥 5.9M / month · 📦 3.7K · ⏱️ 28.06.2022): ``` pip install torchvision ``` - [Conda](https://anaconda.org/conda-forge/torchvision) (📥 380K · ⏱️ 24.07.2022): ``` conda install -c conda-forge torchvision ```
PyTorch Image Models (🥇39 · ⭐ 21K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 - [GitHub](https://github.com/rwightman/pytorch-image-models) (👨‍💻 80 · 🔀 3.5K · 📥 2M · 📦 4.9K · 📋 610 - 13% open · ⏱️ 05.10.2022): ``` git clone https://github.com/rwightman/pytorch-image-models ``` - [PyPi](https://pypi.org/project/timm) (📥 1.2M / month · 📦 110 · ⏱️ 15.05.2022): ``` pip install timm ``` - [Conda](https://anaconda.org/conda-forge/timm) (📥 31K · ⏱️ 30.06.2021): ``` conda install -c conda-forge timm ```
MMDetection (🥇37 · ⭐ 22K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - [GitHub](https://github.com/open-mmlab/mmdetection) (👨‍💻 360 · 🔀 7.8K · 📦 630 · 📋 6.4K - 10% open · ⏱️ 16.09.2022): ``` git clone https://github.com/open-mmlab/mmdetection ``` - [PyPi](https://pypi.org/project/mmdet) (📥 75K / month · 📦 10 · ⏱️ 01.06.2022): ``` pip install mmdet ```
MoviePy (🥇37 · ⭐ 9.7K) - Video editing with Python. MIT - [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 150 · 🔀 1.3K · 📦 18K · 📋 1.2K - 25% open · ⏱️ 01.06.2022): ``` git clone https://github.com/Zulko/moviepy ``` - [PyPi](https://pypi.org/project/moviepy) (📥 2.2M / month · 📦 780 · ⏱️ 05.10.2020): ``` pip install moviepy ``` - [Conda](https://anaconda.org/conda-forge/moviepy) (📥 130K · ⏱️ 16.04.2022): ``` conda install -c conda-forge moviepy ```
imageio (🥇37 · ⭐ 1.1K) - Python library for reading and writing image data. BSD-2 - [GitHub](https://github.com/imageio/imageio) (👨‍💻 92 · 🔀 230 · 📥 380 · 📦 69K · 📋 490 - 13% open · ⏱️ 04.10.2022): ``` git clone https://github.com/imageio/imageio ``` - [PyPi](https://pypi.org/project/imageio) (📥 12M / month · 📦 2.6K · ⏱️ 30.05.2022): ``` pip install imageio ``` - [Conda](https://anaconda.org/conda-forge/imageio) (📥 3.7M · ⏱️ 19.09.2022): ``` conda install -c conda-forge imageio ```
Albumentations (🥈36 · ⭐ 11K) - Fast image augmentation library and an easy-to-use wrapper.. MIT - [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 120 · 🔀 1.4K · 📦 9.5K · 📋 680 - 42% open · ⏱️ 04.10.2022): ``` git clone https://github.com/albumentations-team/albumentations ``` - [PyPi](https://pypi.org/project/albumentations) (📥 540K / month · 📦 220 · ⏱️ 15.06.2022): ``` pip install albumentations ``` - [Conda](https://anaconda.org/conda-forge/albumentations) (📥 63K · ⏱️ 20.09.2022): ``` conda install -c conda-forge albumentations ```
Wand (🥈35 · ⭐ 1.2K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (👨‍💻 100 · 🔀 200 · 📥 8.5K · 📦 13K · 📋 380 - 4% open · ⏱️ 29.09.2022): ``` git clone https://github.com/emcconville/wand ``` - [PyPi](https://pypi.org/project/wand) (📥 640K / month · 📦 690 · ⏱️ 17.08.2021): ``` pip install wand ``` - [Conda](https://anaconda.org/conda-forge/wand) (📥 17K · ⏱️ 22.08.2022): ``` conda install -c conda-forge wand ```
Kornia (🥈34 · ⭐ 7.2K) - Open Source Differentiable Computer Vision Library. Apache-2 - [GitHub](https://github.com/kornia/kornia) (👨‍💻 190 · 🔀 710 · 📥 440 · 📋 660 - 30% open · ⏱️ 05.10.2022): ``` git clone https://github.com/kornia/kornia ``` - [PyPi](https://pypi.org/project/kornia) (📥 950K / month · 📦 58 · ⏱️ 17.05.2022): ``` pip install kornia ``` - [Conda](https://anaconda.org/conda-forge/kornia) (📥 39K · ⏱️ 30.08.2022): ``` conda install -c conda-forge kornia ```
ImageHash (🥈34 · ⭐ 2.5K) - A Python Perceptual Image Hashing Module. BSD-2 - [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 23 · 🔀 300 · 📦 6.1K · 📋 120 - 9% open · ⏱️ 28.09.2022): ``` git clone https://github.com/JohannesBuchner/imagehash ``` - [PyPi](https://pypi.org/project/ImageHash) (📥 1.4M / month · 📦 340 · ⏱️ 15.07.2021): ``` pip install ImageHash ``` - [Conda](https://anaconda.org/conda-forge/imagehash) (📥 240K · ⏱️ 28.09.2022): ``` conda install -c conda-forge imagehash ```
detectron2 (🥈33 · ⭐ 22K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 - [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 220 · 🔀 6.1K · 📦 740 · 📋 3.2K - 9% open · ⏱️ 29.09.2022): ``` git clone https://github.com/facebookresearch/detectron2 ``` - [PyPi](https://pypi.org/project/detectron2) (📦 3 · ⏱️ 06.02.2020): ``` pip install detectron2 ``` - [Conda](https://anaconda.org/conda-forge/detectron2) (📥 89K · ⏱️ 25.04.2022): ``` conda install -c conda-forge detectron2 ```
InsightFace (🥈33 · ⭐ 13K) - State-of-the-art 2D and 3D Face Analysis Project. MIT - [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 48 · 🔀 4K · 📦 190 · 📋 2K - 56% open · ⏱️ 04.10.2022): ``` git clone https://github.com/deepinsight/insightface ``` - [PyPi](https://pypi.org/project/insightface) (📥 24K / month · 📦 5 · ⏱️ 29.01.2022): ``` pip install insightface ```
opencv-python (🥈33 · ⭐ 3K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 40 · 🔀 590 · 📋 580 - 9% open · ⏱️ 29.08.2022): ``` git clone https://github.com/opencv/opencv-python ``` - [PyPi](https://pypi.org/project/opencv-python) (📥 6.6M / month · 📦 9.4K · ⏱️ 08.06.2022): ``` pip install opencv-python ```
Face Recognition (🥈32 · ⭐ 46K) - The worlds simplest facial recognition api for Python and.. MIT - [GitHub](https://github.com/ageitgey/face_recognition) (👨‍💻 54 · 🔀 13K · 📥 470 · 📋 1.3K - 54% open · ⏱️ 10.06.2022): ``` git clone https://github.com/ageitgey/face_recognition ``` - [PyPi](https://pypi.org/project/face_recognition) (📥 45K / month · 📦 46 · ⏱️ 20.02.2020): ``` pip install face_recognition ``` - [Conda](https://anaconda.org/conda-forge/face_recognition) (📥 10K · ⏱️ 30.04.2021): ``` conda install -c conda-forge face_recognition ```
PaddleDetection (🥈32 · ⭐ 8.6K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 120 · 🔀 2.2K · 📦 38 · 📋 4K - 20% open · ⏱️ 30.09.2022): ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` - [PyPi](https://pypi.org/project/paddledet) (📥 510 / month · ⏱️ 24.04.2022): ``` pip install paddledet ```
PaddleSeg (🥈32 · ⭐ 5.5K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨‍💻 84 · 🔀 1.2K · 📦 670 · 📋 1.3K - 44% open · ⏱️ 30.09.2022): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` - [PyPi](https://pypi.org/project/paddleseg) (📥 2.4K / month · 📦 2 · ⏱️ 20.04.2022): ``` pip install paddleseg ```
GluonCV (🥈32 · ⭐ 5.3K) - Gluon CV Toolkit. Apache-2 - [GitHub](https://github.com/dmlc/gluon-cv) (👨‍💻 120 · 🔀 1.2K · 📦 880 · 📋 830 - 7% open · ⏱️ 11.08.2022): ``` git clone https://github.com/dmlc/gluon-cv ``` - [PyPi](https://pypi.org/project/gluoncv) (📥 560K / month · 📦 59 · ⏱️ 07.07.2022): ``` pip install gluoncv ```
imutils (🥈31 · ⭐ 4.2K · 💤) - A series of convenience functions to make basic image processing.. MIT - [GitHub](https://github.com/PyImageSearch/imutils) (👨‍💻 21 · 🔀 1K · 📦 28K · 📋 230 - 65% open · ⏱️ 27.01.2022): ``` git clone https://github.com/PyImageSearch/imutils ``` - [PyPi](https://pypi.org/project/imutils) (📥 370K / month · 📦 780 · ⏱️ 15.01.2021): ``` pip install imutils ``` - [Conda](https://anaconda.org/conda-forge/imutils) (📥 100K · ⏱️ 26.08.2022): ``` conda install -c conda-forge imutils ```
deepface (🥈30 · ⭐ 4.7K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT - [GitHub](https://github.com/serengil/deepface) (👨‍💻 27 · 🔀 1K · 📦 800 · 📋 530 - 0% open · ⏱️ 29.09.2022): ``` git clone https://github.com/serengil/deepface ``` - [PyPi](https://pypi.org/project/deepface) (📥 29K / month · 📦 3 · ⏱️ 10.05.2022): ``` pip install deepface ```
CellProfiler (🥈29 · ⭐ 710) - An open-source application for biological image analysis. BSD-3 - [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 130 · 🔀 330 · 📥 3.8K · 📦 10 · 📋 3.1K - 5% open · ⏱️ 07.09.2022): ``` git clone https://github.com/CellProfiler/CellProfiler ``` - [PyPi](https://pypi.org/project/cellprofiler) (📥 750 / month · ⏱️ 22.07.2021): ``` pip install cellprofiler ```
vit-pytorch (🥈27 · ⭐ 12K) - Implementation of Vision Transformer, a simple way to achieve.. MIT - [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 15 · 🔀 1.9K · 📦 140 · 📋 200 - 48% open · ⏱️ 27.07.2022): ``` git clone https://github.com/lucidrains/vit-pytorch ``` - [PyPi](https://pypi.org/project/vit-pytorch) (📥 18K / month · 📦 3 · ⏱️ 30.06.2022): ``` pip install vit-pytorch ```
vidgear (🥈27 · ⭐ 2.4K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 - [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 13 · 🔀 190 · 📥 660 · 📦 240 · 📋 240 - 2% open · ⏱️ 06.07.2022): ``` git clone https://github.com/abhiTronix/vidgear ``` - [PyPi](https://pypi.org/project/vidgear) (📥 5K / month · 📦 5 · ⏱️ 05.07.2022): ``` pip install vidgear ```
sahi (🥈27 · ⭐ 2K · 📉) - Platform agnostic sliced/tiled inference + interactive ui + error analysis.. MIT - [GitHub](https://github.com/obss/sahi) (👨‍💻 19 · 🔀 310 · 📥 6.4K · 📦 140 · ⏱️ 05.10.2022): ``` git clone https://github.com/obss/sahi ``` - [PyPi](https://pypi.org/project/sahi) (📥 80K / month · 📦 5 · ⏱️ 25.06.2022): ``` pip install sahi ``` - [Conda](https://anaconda.org/conda-forge/sahi) (📥 18K · ⏱️ 27.09.2022): ``` conda install -c conda-forge sahi ```
lightly (🥈27 · ⭐ 1.8K) - A python library for self-supervised learning on images. MIT - [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 19 · 🔀 150 · 📦 53 · 📋 330 - 20% open · ⏱️ 06.10.2022): ``` git clone https://github.com/lightly-ai/lightly ``` - [PyPi](https://pypi.org/project/lightly) (📥 2.5K / month · 📦 1 · ⏱️ 05.07.2022): ``` pip install lightly ```
doctr (🥈27 · ⭐ 1.3K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 - [GitHub](https://github.com/mindee/doctr) (👨‍💻 27 · 🔀 170 · 📥 740K · 📦 32 · 📋 220 - 15% open · ⏱️ 30.09.2022): ``` git clone https://github.com/mindee/doctr ``` - [PyPi](https://pypi.org/project/python-doctr) (📥 5.4K / month · 📦 1 · ⏱️ 22.03.2022): ``` pip install python-doctr ```
mahotas (🥈27 · ⭐ 780) - Computer Vision in Python. MIT - [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 32 · 🔀 150 · 📦 880 · 📋 83 - 24% open · ⏱️ 28.06.2022): ``` git clone https://github.com/luispedro/mahotas ``` - [PyPi](https://pypi.org/project/mahotas) (📥 8.4K / month · 📦 120 · ⏱️ 28.06.2022): ``` pip install mahotas ``` - [Conda](https://anaconda.org/conda-forge/mahotas) (📥 340K · ⏱️ 28.07.2022): ``` conda install -c conda-forge mahotas ```
Augmentor (🥉26 · ⭐ 4.8K) - Image augmentation library in Python for machine learning. MIT - [GitHub](https://github.com/mdbloice/Augmentor) (👨‍💻 22 · 🔀 850 · 📦 500 · 📋 200 - 63% open · ⏱️ 23.09.2022): ``` git clone https://github.com/mdbloice/Augmentor ``` - [PyPi](https://pypi.org/project/Augmentor) (📥 25K / month · 📦 29 · ⏱️ 27.04.2022): ``` pip install Augmentor ```
facenet-pytorch (🥉26 · ⭐ 3.1K · 💤) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT - [GitHub](https://github.com/timesler/facenet-pytorch) (👨‍💻 14 · 🔀 660 · 📥 440K · 📦 880 · 📋 160 - 40% open · ⏱️ 13.12.2021): ``` git clone https://github.com/timesler/facenet-pytorch ``` - [PyPi](https://pypi.org/project/facenet-pytorch) (📥 22K / month · 📦 11 · ⏱️ 10.03.2021): ``` pip install facenet-pytorch ```
pytorchvideo (🥉26 · ⭐ 2.6K) - A deep learning library for video understanding research. Apache-2 - [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨‍💻 47 · 🔀 290 · 📋 150 - 35% open · ⏱️ 27.09.2022): ``` git clone https://github.com/facebookresearch/pytorchvideo ``` - [PyPi](https://pypi.org/project/pytorchvideo) (📥 14K / month · 📦 5 · ⏱️ 20.01.2022): ``` pip install pytorchvideo ```
Norfair (🥉26 · ⭐ 1.6K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 - [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 21 · 🔀 160 · 📥 210 · 📋 99 - 6% open · ⏱️ 04.10.2022): ``` git clone https://github.com/tryolabs/norfair ``` - [PyPi](https://pypi.org/project/norfair) (📥 6.8K / month · 📦 1 · ⏱️ 30.05.2022): ``` pip install norfair ```
pyvips (🥉25 · ⭐ 440) - python binding for libvips using cffi. MIT - [GitHub](https://github.com/libvips/pyvips) (👨‍💻 14 · 🔀 40 · 📦 370 · 📋 300 - 36% open · ⏱️ 03.10.2022): ``` git clone https://github.com/libvips/pyvips ``` - [PyPi](https://pypi.org/project/pyvips) (📥 18K / month · 📦 40 · ⏱️ 12.06.2022): ``` pip install pyvips ``` - [Conda](https://anaconda.org/conda-forge/pyvips) (📥 34K · ⏱️ 24.07.2022): ``` conda install -c conda-forge pyvips ```
layout-parser (🥉24 · ⭐ 3.2K) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - [GitHub](https://github.com/Layout-Parser/layout-parser) (👨‍💻 8 · 🔀 310 · 📦 100 · 📋 110 - 52% open · ⏱️ 06.08.2022): ``` git clone https://github.com/Layout-Parser/layout-parser ``` - [PyPi](https://pypi.org/project/layoutparser) (📥 38K / month · 📦 2 · ⏱️ 06.04.2022): ``` pip install layoutparser ```
MMF (🥉23 · ⭐ 5K) - A modular framework for vision & language multimodal research from.. BSD-3 - [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 100 · 🔀 840 · 📦 12 · 📋 630 - 31% open · ⏱️ 04.10.2022): ``` git clone https://github.com/facebookresearch/mmf ``` - [PyPi](https://pypi.org/project/mmf) (📥 210 / month · 📦 1 · ⏱️ 12.06.2020): ``` pip install mmf ```
deep-daze (🥉23 · ⭐ 4.3K · 💤) - Simple command line tool for text to image generation using.. MIT - [GitHub](https://github.com/lucidrains/deep-daze) (👨‍💻 14 · 🔀 320 · 📦 45 · 📋 170 - 56% open · ⏱️ 13.03.2022): ``` git clone https://github.com/lucidrains/deep-daze ``` - [PyPi](https://pypi.org/project/deep-daze) (📥 1.4K / month · ⏱️ 13.03.2022): ``` pip install deep-daze ```
segmentation_models (🥉23 · ⭐ 4.1K) - Segmentation models with pretrained backbones. Keras.. MIT - [GitHub](https://github.com/qubvel/segmentation_models) (👨‍💻 14 · 🔀 930 · 📋 490 - 46% open · ⏱️ 29.07.2022): ``` git clone https://github.com/qubvel/segmentation_models ``` - [PyPi](https://pypi.org/project/segmentation_models) (📥 22K / month · 📦 24 · ⏱️ 10.01.2020): ``` pip install segmentation_models ```
vissl (🥉23 · ⭐ 2.8K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT - [GitHub](https://github.com/facebookresearch/vissl) (👨‍💻 33 · 🔀 290 · 📦 10 · 📋 160 - 37% open · ⏱️ 21.09.2022): ``` git clone https://github.com/facebookresearch/vissl ``` - [PyPi](https://pypi.org/project/vissl) (📥 650 / month · 📦 1 · ⏱️ 02.11.2021): ``` pip install vissl ```
tensorflow-graphics (🥉23 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - [GitHub](https://github.com/tensorflow/graphics) (👨‍💻 37 · 🔀 340 · 📋 220 - 58% open · ⏱️ 05.10.2022): ``` git clone https://github.com/tensorflow/graphics ``` - [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 3.1K / month · 📦 4 · ⏱️ 03.12.2021): ``` pip install tensorflow-graphics ```
icevision (🥉23 · ⭐ 750) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2 - [GitHub](https://github.com/airctic/icevision) (👨‍💻 41 · 🔀 120 · 📋 560 - 8% open · ⏱️ 29.09.2022): ``` git clone https://github.com/airctic/icevision ``` - [PyPi](https://pypi.org/project/icevision) (📥 3.4K / month · 📦 5 · ⏱️ 10.02.2022): ``` pip install icevision ```
kubric (🥉22 · ⭐ 1.6K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (👨‍💻 21 · 🔀 130 · 📋 160 - 28% open · ⏱️ 21.09.2022): ``` git clone https://github.com/google-research/kubric ``` - [PyPi](https://pypi.org/project/kubric-nightly) (📥 4.8K / month · ⏱️ 06.07.2022): ``` pip install kubric-nightly ```
Classy Vision (🥉22 · ⭐ 1.5K) - An end-to-end PyTorch framework for image and video.. MIT - [GitHub](https://github.com/facebookresearch/ClassyVision) (👨‍💻 77 · 🔀 260 · 📋 120 - 45% open · ⏱️ 27.09.2022): ``` git clone https://github.com/facebookresearch/ClassyVision ``` - [PyPi](https://pypi.org/project/classy_vision) (📥 1.7K / month · 📦 2 · ⏱️ 09.07.2021): ``` pip install classy_vision ``` - [Conda](https://anaconda.org/conda-forge/classy_vision) (📥 15K · ⏱️ 22.03.2022): ``` conda install -c conda-forge classy_vision ```
PySlowFast (🥉21 · ⭐ 5.1K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 - [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 29 · 🔀 1K · 📦 10 · 📋 580 - 54% open · ⏱️ 27.09.2022): ``` git clone https://github.com/facebookresearch/SlowFast ``` - [PyPi](https://pypi.org/project/pyslowfast) (📥 15 / month · ⏱️ 15.01.2020): ``` pip install pyslowfast ```
scenic (🥉21 · ⭐ 1.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 - [GitHub](https://github.com/google-research/scenic) (👨‍💻 49 · 🔀 180 · 📦 28 · 📋 74 - 45% open · ⏱️ 04.10.2022): ``` git clone https://github.com/google-research/scenic ```
detecto (🥉21 · ⭐ 560 · 💤) - Build fully-functioning computer vision models with PyTorch. MIT - [GitHub](https://github.com/alankbi/detecto) (👨‍💻 12 · 🔀 96 · 📦 110 · 📋 98 - 37% open · ⏱️ 09.02.2022): ``` git clone https://github.com/alankbi/detecto ``` - [PyPi](https://pypi.org/project/detecto) (📥 20K / month · 📦 2 · ⏱️ 02.02.2022): ``` pip install detecto ``` - [Conda](https://anaconda.org/conda-forge/detecto) (📥 1.6K · ⏱️ 02.02.2022): ``` conda install -c conda-forge detecto ```
ffcv (🥉20 · ⭐ 2.3K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 - [GitHub](https://github.com/libffcv/ffcv) (👨‍💻 17 · 🔀 120 · 📦 10 · 📋 190 - 24% open · ⏱️ 21.07.2022): ``` git clone https://github.com/libffcv/ffcv ``` - [PyPi](https://pypi.org/project/ffcv) (📥 710 / month · ⏱️ 28.01.2022): ``` pip install ffcv ```
pycls (🥉20 · ⭐ 2K) - Codebase for Image Classification Research, written in PyTorch. MIT - [GitHub](https://github.com/facebookresearch/pycls) (👨‍💻 17 · 🔀 230 · 📦 6 · 📋 81 - 30% open · ⏱️ 12.07.2022): ``` git clone https://github.com/facebookresearch/pycls ``` - [PyPi](https://pypi.org/project/pycls) (📥 310K / month · ⏱️ 05.09.2020): ``` pip install pycls ```
DE⫶TR (🥉19 · ⭐ 9.8K · 💤) - End-to-End Object Detection with Transformers. Apache-2 - [GitHub](https://github.com/facebookresearch/detr) (👨‍💻 25 · 🔀 1.7K · 📋 460 - 40% open · ⏱️ 07.03.2022): ``` git clone https://github.com/facebookresearch/detr ```
Caer (🥉17 · ⭐ 650 · 💤) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - [GitHub](https://github.com/jasmcaus/caer) (👨‍💻 8 · 🔀 110 · 📥 19 · 📋 15 - 13% open · ⏱️ 13.10.2021): ``` git clone https://github.com/jasmcaus/caer ``` - [PyPi](https://pypi.org/project/caer) (📥 3.8K / month · 📦 1 · ⏱️ 13.10.2021): ``` pip install caer ```
Show 16 hidden projects... - glfw (🥈36 · ⭐ 9.6K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (🥈35 · ⭐ 13K · 💀) - Image augmentation for machine learning experiments. MIT - imageai (🥈30 · ⭐ 7.3K · 💀) - A python library built to empower developers to build applications.. MIT - PyTorch3D (🥈29 · ⭐ 6.6K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - chainercv (🥈27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Face Alignment (🥉26 · ⭐ 5.9K · 💀) - 2D and 3D Face alignment library build using pytorch. BSD-3 - Pillow-SIMD (🥉26 · ⭐ 1.9K) - The friendly PIL fork. ❗️PIL - mtcnn (🥉25 · ⭐ 1.9K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - Image Super-Resolution (🥉23 · ⭐ 3.8K · 💀) - Super-scale your images and run experiments with.. Apache-2 - Image Deduplicator (🥉22 · ⭐ 4.2K · 💀) - Finding duplicate images made easy!. Apache-2 - Luminoth (🥉22 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3 - nude.py (🥉22 · ⭐ 870 · 💀) - Nudity detection with Python. MIT - image-match (🥉21 · ⭐ 2.8K · 💀) - Quickly search over billions of images. Apache-2 - solt (🥉18 · ⭐ 260) - Streaming over lightweight data transformations. MIT - Torch Points 3D (🥉16 · ⭐ 100 · 💤) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (🥉14 · ⭐ 170 · 💤) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface

## Graph Data Back to top _Libraries for graph processing, clustering, embedding, and machine learning tasks._
networkx (🥇43 · ⭐ 12K) - Network Analysis in Python. BSD-3 - [GitHub](https://github.com/networkx/networkx) (👨‍💻 620 · 🔀 2.7K · 📥 60 · 📦 120K · 📋 3K - 11% open · ⏱️ 06.10.2022): ``` git clone https://github.com/networkx/networkx ``` - [PyPi](https://pypi.org/project/networkx) (📥 18M / month · 📦 13K · ⏱️ 14.06.2022): ``` pip install networkx ``` - [Conda](https://anaconda.org/conda-forge/networkx) (📥 8.3M · ⏱️ 01.10.2022): ``` conda install -c conda-forge networkx ```
PyTorch Geometric (🥇38 · ⭐ 16K) - Graph Neural Network Library for PyTorch. MIT - [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 310 · 🔀 2.8K · 📋 2.8K - 37% open · ⏱️ 05.10.2022): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` - [PyPi](https://pypi.org/project/torch-geometric) (📥 110K / month · 📦 50 · ⏱️ 12.03.2022): ``` pip install torch-geometric ``` - [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 12K · ⏱️ 19.08.2022): ``` conda install -c conda-forge pytorch_geometric ```
dgl (🥇36 · ⭐ 10K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 - [GitHub](https://github.com/dmlc/dgl) (👨‍💻 230 · 🔀 2.4K · 📦 31 · 📋 1.8K - 14% open · ⏱️ 03.10.2022): ``` git clone https://github.com/dmlc/dgl ``` - [PyPi](https://pypi.org/project/dgl) (📥 41K / month · 📦 46 · ⏱️ 16.03.2022): ``` pip install dgl ```
ogb (🥈30 · ⭐ 1.5K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT - [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 23 · 🔀 340 · 📦 420 · 📋 240 - 1% open · ⏱️ 21.09.2022): ``` git clone https://github.com/snap-stanford/ogb ``` - [PyPi](https://pypi.org/project/ogb) (📥 30K / month · 📦 18 · ⏱️ 23.02.2022): ``` pip install ogb ``` - [Conda](https://anaconda.org/conda-forge/ogb) (📥 13K · ⏱️ 22.08.2022): ``` conda install -c conda-forge ogb ```
Spektral (🥈28 · ⭐ 2.2K) - Graph Neural Networks with Keras and Tensorflow 2. MIT - [GitHub](https://github.com/danielegrattarola/spektral) (👨‍💻 24 · 🔀 310 · 📦 150 · 📋 240 - 17% open · ⏱️ 22.07.2022): ``` git clone https://github.com/danielegrattarola/spektral ``` - [PyPi](https://pypi.org/project/spektral) (📥 7.1K / month · 📦 3 · ⏱️ 09.04.2022): ``` pip install spektral ```
Paddle Graph Learning (🥈28 · ⭐ 1.4K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PGL) (👨‍💻 29 · 🔀 270 · 📦 34 · 📋 150 - 37% open · ⏱️ 28.09.2022): ``` git clone https://github.com/PaddlePaddle/PGL ``` - [PyPi](https://pypi.org/project/pgl) (📥 2.2K / month · 📦 2 · ⏱️ 21.04.2022): ``` pip install pgl ```
StellarGraph (🥈27 · ⭐ 2.5K · 💤) - StellarGraph - Machine Learning on Graphs. Apache-2 - [GitHub](https://github.com/stellargraph/stellargraph) (👨‍💻 36 · 🔀 380 · 📦 160 · 📋 1K - 27% open · ⏱️ 29.10.2021): ``` git clone https://github.com/stellargraph/stellargraph ``` - [PyPi](https://pypi.org/project/stellargraph) (📥 27K / month · 📦 5 · ⏱️ 30.06.2020): ``` pip install stellargraph ```
pygraphistry (🥈27 · ⭐ 1.7K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 - [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 26 · 🔀 180 · 📦 74 · 📋 240 - 47% open · ⏱️ 04.10.2022): ``` git clone https://github.com/graphistry/pygraphistry ``` - [PyPi](https://pypi.org/project/graphistry) (📥 2.8K / month · 📦 4 · ⏱️ 02.07.2022): ``` pip install graphistry ```
pytorch_geometric_temporal (🥈26 · ⭐ 1.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT - [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 24 · 🔀 260 · 📋 120 - 6% open · ⏱️ 08.09.2022): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` - [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 3.2K / month · 📦 2 · ⏱️ 04.04.2022): ``` pip install torch-geometric-temporal ```
PyKEEN (🥈25 · ⭐ 990) - A Python library for learning and evaluating knowledge graph embeddings. MIT - [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 31 · 🔀 130 · 📥 140 · 📋 450 - 16% open · ⏱️ 03.10.2022): ``` git clone https://github.com/pykeen/pykeen ``` - [PyPi](https://pypi.org/project/pykeen) (📥 1.8K / month · 📦 3 · ⏱️ 24.05.2022): ``` pip install pykeen ```
PyTorch-BigGraph (🥈24 · ⭐ 3.1K) - Generate embeddings from large-scale graph-structured.. BSD-3 - [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨‍💻 28 · 🔀 420 · 📥 140 · 📋 190 - 28% open · ⏱️ 09.09.2022): ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` - [PyPi](https://pypi.org/project/torchbiggraph) (📥 270K / month · 📦 3 · ⏱️ 01.05.2019): ``` pip install torchbiggraph ```
graph4nlp (🥉22 · ⭐ 1.5K) - Graph4nlp is the library for the easy use of Graph Neural.. Apache-2 - [GitHub](https://github.com/graph4ai/graph4nlp) (👨‍💻 27 · 🔀 180 · 📋 170 - 6% open · ⏱️ 28.05.2022): ``` git clone https://github.com/graph4ai/graph4nlp ``` - [PyPi](https://pypi.org/project/graph4nlp) (📥 150 / month · ⏱️ 20.01.2022): ``` pip install graph4nlp ```
Node2Vec (🥉22 · ⭐ 970) - Implementation of the node2vec algorithm. MIT - [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 11 · 🔀 220 · 📋 80 - 1% open · ⏱️ 01.08.2022): ``` git clone https://github.com/eliorc/node2vec ``` - [PyPi](https://pypi.org/project/node2vec) (📥 97K / month · 📦 16 · ⏱️ 30.04.2022): ``` pip install node2vec ``` - [Conda](https://anaconda.org/conda-forge/node2vec) (📥 22K · ⏱️ 25.04.2020): ``` conda install -c conda-forge node2vec ```
torch-cluster (🥉22 · ⭐ 560) - PyTorch Extension Library of Optimized Graph Cluster.. MIT - [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 25 · 🔀 100 · 📋 110 - 18% open · ⏱️ 22.08.2022): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` - [PyPi](https://pypi.org/project/torch-cluster) (📥 11K / month · 📦 27 · ⏱️ 11.03.2022): ``` pip install torch-cluster ``` - [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 41K · ⏱️ 06.04.2022): ``` conda install -c conda-forge pytorch_cluster ```
jraph (🥉20 · ⭐ 1K) - A Graph Neural Network Library in Jax. Apache-2 - [GitHub](https://github.com/deepmind/jraph) (👨‍💻 17 · 🔀 65 · 📦 32 · 📋 41 - 36% open · ⏱️ 31.08.2022): ``` git clone https://github.com/deepmind/jraph ``` - [PyPi](https://pypi.org/project/jraph) (📥 2.8K / month · 📦 2 · ⏱️ 06.06.2022): ``` pip install jraph ``` - [Conda](https://anaconda.org/conda-forge/jraph) (📥 1K · ⏱️ 31.10.2021): ``` conda install -c conda-forge jraph ```
kglib (🥉19 · ⭐ 520) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - [GitHub](https://github.com/vaticle/typedb-ml) (👨‍💻 11 · 🔀 94 · 📥 210 · 📋 61 - 18% open · ⏱️ 04.10.2022): ``` git clone https://github.com/vaticle/kglib ``` - [PyPi](https://pypi.org/project/grakn-kglib) (📥 27 / month · ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
GraphEmbedding (🥉16 · ⭐ 3K) - Implementation and experiments of graph embedding algorithms. MIT - [GitHub](https://github.com/shenweichen/GraphEmbedding) (👨‍💻 9 · 🔀 880 · 📦 21 · 📋 68 - 66% open · ⏱️ 21.06.2022): ``` git clone https://github.com/shenweichen/GraphEmbedding ```
GraphGym (🥉15 · ⭐ 1.2K) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - [GitHub](https://github.com/snap-stanford/GraphGym) (👨‍💻 5 · 🔀 140 · 📥 14 · 📦 2 · 📋 35 - 22% open · ⏱️ 25.08.2022): ``` git clone https://github.com/snap-stanford/GraphGym ``` - [PyPi](https://pypi.org/project/graphgym) (📥 66 / month · ⏱️ 24.03.2022): ``` pip install graphgym ```
AutoGL (🥉14 · ⭐ 850) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 13 · 🔀 99 · 📋 23 - 34% open · ⏱️ 19.04.2022): ``` git clone https://github.com/THUMNLab/AutoGL ``` - [PyPi](https://pypi.org/project/auto-graph-learning) (📥 2 / month · ⏱️ 23.12.2020): ``` pip install auto-graph-learning ```
ptgnn (🥉14 · ⭐ 360 · 💤) - A PyTorch Graph Neural Network Library. MIT - [GitHub](https://github.com/microsoft/ptgnn) (👨‍💻 7 · 🔀 40 · 📦 1 · 📋 7 - 28% open · ⏱️ 01.02.2022): ``` git clone https://github.com/microsoft/ptgnn ``` - [PyPi](https://pypi.org/project/ptgnn) (📥 160 / month · ⏱️ 21.10.2021): ``` pip install ptgnn ```
Show 16 hidden projects... - igraph (🥇32 · ⭐ 1K) - Python interface for igraph. ❗️GPL-2.0 - pygal (🥈27 · ⭐ 2.5K · 💤) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Karate Club (🥈25 · ⭐ 1.7K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 - AmpliGraph (🥈24 · ⭐ 1.8K · 💀) - Python library for Representation Learning on Knowledge.. Apache-2 - DIG (🥈24 · ⭐ 1.3K) - A library for graph deep learning research. ❗️GPL-3.0 - DeepWalk (🥉21 · ⭐ 2.5K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - graph-nets (🥉20 · ⭐ 5.2K · 💀) - Build Graph Nets in Tensorflow. Apache-2 - pyRDF2Vec (🥉20 · ⭐ 170) - Python Implementation and Extension of RDF2Vec. MIT - deepsnap (🥉19 · ⭐ 440 · 💀) - Python library assists deep learning on graphs. MIT - Sematch (🥉16 · ⭐ 400 · 💀) - semantic similarity framework for knowledge graph. Apache-2 - DeepGraph (🥉16 · ⭐ 270 · 💀) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - OpenKE (🥉15 · ⭐ 3.2K · 💀) - An Open-Source Package for Knowledge Embedding (KE). MIT - GraphSAGE (🥉15 · ⭐ 2.9K · 💀) - Representation learning on large graphs using stochastic.. MIT - Euler (🥉15 · ⭐ 2.8K · 💀) - A distributed graph deep learning framework. Apache-2 - OpenNE (🥉14 · ⭐ 1.6K · 💀) - An Open-Source Package for Network Embedding (NE). MIT - GraphVite (🥉12 · ⭐ 1.1K · 💀) - GraphVite: A General and High-performance Graph Embedding.. Apache-2

## Audio Data Back to top _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
espnet (🥇36 · ⭐ 5.5K) - End-to-End Speech Processing Toolkit. Apache-2 - [GitHub](https://github.com/espnet/espnet) (👨‍💻 300 · 🔀 1.7K · 📥 76 · 📦 77 · 📋 2K - 18% open · ⏱️ 05.10.2022): ``` git clone https://github.com/espnet/espnet ``` - [PyPi](https://pypi.org/project/espnet) (📥 11K / month · 📦 3 · ⏱️ 28.05.2022): ``` pip install espnet ```
librosa (🥇34 · ⭐ 5.4K) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (👨‍💻 110 · 🔀 840 · 📋 1K - 4% open · ⏱️ 04.10.2022): ``` git clone https://github.com/librosa/librosa ``` - [PyPi](https://pypi.org/project/librosa) (📥 1.3M / month · 📦 1.2K · ⏱️ 27.06.2022): ``` pip install librosa ``` - [Conda](https://anaconda.org/conda-forge/librosa) (📥 520K · ⏱️ 27.06.2022): ``` conda install -c conda-forge librosa ```
speechbrain (🥇34 · ⭐ 4.7K) - A PyTorch-based Speech Toolkit. Apache-2 - [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 180 · 🔀 890 · 📦 280 · 📋 810 - 24% open · ⏱️ 05.10.2022): ``` git clone https://github.com/speechbrain/speechbrain ``` - [PyPi](https://pypi.org/project/speechbrain) (📥 18K / month · 📦 3 · ⏱️ 26.06.2022): ``` pip install speechbrain ```
torchaudio (🥇34 · ⭐ 1.9K) - Data manipulation and transformation for audio signal.. BSD-2 - [GitHub](https://github.com/pytorch/audio) (👨‍💻 180 · 🔀 470 · 📋 680 - 24% open · ⏱️ 06.10.2022): ``` git clone https://github.com/pytorch/audio ``` - [PyPi](https://pypi.org/project/torchaudio) (📥 730K / month · 📦 160 · ⏱️ 28.06.2022): ``` pip install torchaudio ```
Magenta (🥈33 · ⭐ 18K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - [GitHub](https://github.com/magenta/magenta) (👨‍💻 150 · 🔀 3.7K · 📦 390 · 📋 930 - 37% open · ⏱️ 04.10.2022): ``` git clone https://github.com/magenta/magenta ``` - [PyPi](https://pypi.org/project/magenta) (📥 4.2K / month · 📦 38 · ⏱️ 12.11.2020): ``` pip install magenta ```
Pydub (🥈32 · ⭐ 6.4K) - Manipulate audio with a simple and easy high level interface. MIT - [GitHub](https://github.com/jiaaro/pydub) (👨‍💻 92 · 🔀 860 · 📦 14K · 📋 530 - 50% open · ⏱️ 14.05.2022): ``` git clone https://github.com/jiaaro/pydub ``` - [PyPi](https://pypi.org/project/pydub) (📥 2M / month · 📦 900 · ⏱️ 10.03.2021): ``` pip install pydub ``` - [Conda](https://anaconda.org/conda-forge/pydub) (📥 31K · ⏱️ 13.03.2021): ``` conda install -c conda-forge pydub ```
SpeechRecognition (🥈31 · ⭐ 6.5K) - Speech recognition module for Python, supporting several.. BSD-3 - [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 47 · 🔀 2.1K · 📋 520 - 45% open · ⏱️ 02.08.2022): ``` git clone https://github.com/Uberi/speech_recognition ``` - [PyPi](https://pypi.org/project/SpeechRecognition) (📥 410K / month · 📦 700 · ⏱️ 05.12.2017): ``` pip install SpeechRecognition ``` - [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 150K · ⏱️ 13.12.2021): ``` conda install -c conda-forge speechrecognition ```
spleeter (🥈29 · ⭐ 21K) - Deezer source separation library including pretrained models. MIT - [GitHub](https://github.com/deezer/spleeter) (👨‍💻 19 · 🔀 2.3K · 📥 1.9M · 📋 700 - 22% open · ⏱️ 07.09.2022): ``` git clone https://github.com/deezer/spleeter ``` - [PyPi](https://pypi.org/project/spleeter) (📥 11K / month · 📦 5 · ⏱️ 10.06.2022): ``` pip install spleeter ``` - [Conda](https://anaconda.org/conda-forge/spleeter) (📥 69K · ⏱️ 30.06.2020): ``` conda install -c conda-forge spleeter ```
Coqui TTS (🥈29 · ⭐ 6.6K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 - [GitHub](https://github.com/coqui-ai/TTS) (👨‍💻 110 · 🔀 690 · 📥 280K · 📋 420 - 5% open · ⏱️ 06.10.2022): ``` git clone https://github.com/coqui-ai/TTS ``` - [PyPi](https://pypi.org/project/tts) (📥 6.8K / month · 📦 5 · ⏱️ 21.06.2022): ``` pip install tts ``` - [Conda](https://anaconda.org/conda-forge/tts) (📥 4.4K · ⏱️ 15.12.2021): ``` conda install -c conda-forge tts ```
audioread (🥈29 · ⭐ 410) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT - [GitHub](https://github.com/beetbox/audioread) (👨‍💻 23 · 🔀 100 · 📋 84 - 40% open · ⏱️ 12.08.2022): ``` git clone https://github.com/beetbox/audioread ``` - [PyPi](https://pypi.org/project/audioread) (📥 1.3M / month · 📦 330 · ⏱️ 20.10.2020): ``` pip install audioread ``` - [Conda](https://anaconda.org/conda-forge/audioread) (📥 500K · ⏱️ 14.08.2022): ``` conda install -c conda-forge audioread ```
pyAudioAnalysis (🥈28 · ⭐ 5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 27 · 🔀 1.1K · 📦 300 · 📋 300 - 59% open · ⏱️ 18.09.2022): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` - [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 13K / month · 📦 19 · ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
Porcupine (🥉27 · ⭐ 2.8K) - On-device wake word detection powered by deep learning. Apache-2 - [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 31 · 🔀 390 · 📦 10 · 📋 400 - 0% open · ⏱️ 29.09.2022): ``` git clone https://github.com/Picovoice/Porcupine ``` - [PyPi](https://pypi.org/project/pvporcupine) (📥 1.5K / month · 📦 11 · ⏱️ 28.06.2022): ``` pip install pvporcupine ```
audiomentations (🥉26 · ⭐ 1.1K) - A Python library for audio data augmentation. Inspired by.. MIT - [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 23 · 🔀 140 · 📦 170 · 📋 140 - 27% open · ⏱️ 06.10.2022): ``` git clone https://github.com/iver56/audiomentations ``` - [PyPi](https://pypi.org/project/audiomentations) (📥 4.2K / month · 📦 1 · ⏱️ 15.06.2022): ``` pip install audiomentations ```
tinytag (🥉26 · ⭐ 560) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT - [GitHub](https://github.com/devsnd/tinytag) (👨‍💻 23 · 🔀 89 · 📦 600 · 📋 95 - 13% open · ⏱️ 30.09.2022): ``` git clone https://github.com/devsnd/tinytag ``` - [PyPi](https://pypi.org/project/tinytag) (📥 45K / month · 📦 70 · ⏱️ 12.03.2022): ``` pip install tinytag ```
DDSP (🥉25 · ⭐ 2.3K) - DDSP: Differentiable Digital Signal Processing. Apache-2 - [GitHub](https://github.com/magenta/ddsp) (👨‍💻 31 · 🔀 270 · 📦 30 · 📋 150 - 21% open · ⏱️ 04.10.2022): ``` git clone https://github.com/magenta/ddsp ``` - [PyPi](https://pypi.org/project/ddsp) (📥 3.1K / month · 📦 1 · ⏱️ 25.05.2022): ``` pip install ddsp ``` - [Conda](https://anaconda.org/conda-forge/ddsp) (📥 12K · ⏱️ 08.06.2020): ``` conda install -c conda-forge ddsp ```
Madmom (🥉25 · ⭐ 960 · 💤) - Python audio and music signal processing library. BSD-3 - [GitHub](https://github.com/CPJKU/madmom) (👨‍💻 20 · 🔀 160 · 📦 220 · 📋 260 - 21% open · ⏱️ 06.01.2022): ``` git clone https://github.com/CPJKU/madmom ``` - [PyPi](https://pypi.org/project/madmom) (📥 2.5K / month · 📦 27 · ⏱️ 14.11.2018): ``` pip install madmom ```
DeepSpeech (🥉23 · ⭐ 20K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 - [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 140 · 🔀 3.6K): ``` git clone https://github.com/mozilla/DeepSpeech ``` - [PyPi](https://pypi.org/project/deepspeech) (📥 9.2K / month · 📦 40 · ⏱️ 19.12.2020): ``` pip install deepspeech ``` - [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 1K · ⏱️ 29.07.2021): ``` conda install -c conda-forge deepspeech ```
python-soundfile (🥉23 · ⭐ 480) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 28 · 🔀 80 · 📥 5.1K · 📋 180 - 42% open · ⏱️ 27.09.2022): ``` git clone https://github.com/bastibe/python-soundfile ``` - [PyPi](https://pypi.org/project/soundfile) (📥 1.2M / month · ⏱️ 27.09.2022): ``` pip install soundfile ``` - [Conda](https://anaconda.org/anaconda/pysoundfile): ``` conda install -c anaconda pysoundfile ```
kapre (🥉22 · ⭐ 860) - kapre: Keras Audio Preprocessors. MIT - [GitHub](https://github.com/keunwoochoi/kapre) (👨‍💻 13 · 🔀 140 · 📥 22 · 📦 1.8K · 📋 95 - 13% open · ⏱️ 04.07.2022): ``` git clone https://github.com/keunwoochoi/kapre ``` - [PyPi](https://pypi.org/project/kapre) (📥 3.7K / month · 📦 14 · ⏱️ 21.01.2022): ``` pip install kapre ```
nnAudio (🥉20 · ⭐ 730 · 💤) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 13 · 🔀 67 · 📦 61 · 📋 51 - 23% open · ⏱️ 24.12.2021): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` - [PyPi](https://pypi.org/project/nnAudio) (📥 4.6K / month · 📦 1 · ⏱️ 24.12.2021): ``` pip install nnAudio ```
Show 9 hidden projects... - aubio (🥈28 · ⭐ 2.8K · 💤) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (🥉27 · ⭐ 2.2K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - python_speech_features (🥉23 · ⭐ 2.1K · 💀) - This library provides common speech features for ASR.. MIT - TTS (🥉22 · ⭐ 6.3K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - Dejavu (🥉22 · ⭐ 5.9K · 💀) - Audio fingerprinting and recognition in Python. MIT - TimeSide (🥉20 · ⭐ 330 · 📉) - Scalable audio processing framework written in Python with a.. ❗️AGPL-3.0 - Julius (🥉18 · ⭐ 290) - Fast PyTorch based DSP for audio and 1D signals. MIT - Muda (🥉17 · ⭐ 210 · 💀) - A library for augmenting annotated audio data. ISC - textlesslib (🥉9 · ⭐ 360 · 💤) - Library for Textless Spoken Language Processing. MIT

## Geospatial Data Back to top _Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._
pydeck (🥇42 · ⭐ 10K) - WebGL2 powered visualization framework. MIT - [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 210 · 🔀 1.8K · 📦 4.7K · 📋 2.5K - 6% open · ⏱️ 05.10.2022): ``` git clone https://github.com/visgl/deck.gl ``` - [PyPi](https://pypi.org/project/pydeck) (📥 910K / month · 📦 24 · ⏱️ 25.10.2021): ``` pip install pydeck ``` - [Conda](https://anaconda.org/conda-forge/pydeck) (📥 200K · ⏱️ 26.10.2021): ``` conda install -c conda-forge pydeck ``` - [npm](https://www.npmjs.com/package/deck.gl) (📥 340K / month · 📦 410 · ⏱️ 05.10.2022): ``` npm install deck.gl ```
Shapely (🥇38 · ⭐ 3K) - Manipulation and analysis of geometric objects. BSD-3 - [GitHub](https://github.com/shapely/shapely) (👨‍💻 140 · 🔀 480 · 📥 280 · 📦 34K · 📋 950 - 19% open · ⏱️ 03.10.2022): ``` git clone https://github.com/shapely/shapely ``` - [PyPi](https://pypi.org/project/shapely) (📥 8.4M / month · ⏱️ 03.08.2022): ``` pip install shapely ``` - [Conda](https://anaconda.org/conda-forge/shapely) (📥 4.6M · ⏱️ 18.08.2022): ``` conda install -c conda-forge shapely ```
GeoPandas (🥇37 · ⭐ 3.4K) - Python tools for geographic data. BSD-3 - [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 180 · 🔀 740 · 📥 1.6K · 📦 16K · 📋 1.4K - 31% open · ⏱️ 03.10.2022): ``` git clone https://github.com/geopandas/geopandas ``` - [PyPi](https://pypi.org/project/geopandas) (📥 3.6M / month · 📦 1.2K · ⏱️ 21.06.2022): ``` pip install geopandas ``` - [Conda](https://anaconda.org/conda-forge/geopandas) (📥 2M · ⏱️ 24.07.2022): ``` conda install -c conda-forge geopandas ```
Rasterio (🥇37 · ⭐ 1.8K) - Rasterio reads and writes geospatial raster datasets. BSD-3 - [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 130 · 🔀 480 · 📥 760 · 📦 5.6K · 📋 1.6K - 9% open · ⏱️ 27.09.2022): ``` git clone https://github.com/rasterio/rasterio ``` - [PyPi](https://pypi.org/project/rasterio) (📥 1.3M / month · 📦 800 · ⏱️ 06.07.2022): ``` pip install rasterio ``` - [Conda](https://anaconda.org/conda-forge/rasterio) (📥 1.8M · ⏱️ 19.08.2022): ``` conda install -c conda-forge rasterio ```
pyproj (🥇37 · ⭐ 800) - Python interface to PROJ (cartographic projections and coordinate.. MIT - [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 53 · 🔀 180 · 📦 16K · 📋 520 - 2% open · ⏱️ 03.10.2022): ``` git clone https://github.com/pyproj4/pyproj ``` - [PyPi](https://pypi.org/project/pyproj) (📥 5.6M / month · 📦 1.7K · ⏱️ 22.04.2022): ``` pip install pyproj ``` - [Conda](https://anaconda.org/conda-forge/pyproj) (📥 4.3M · ⏱️ 10.09.2022): ``` conda install -c conda-forge pyproj ```
folium (🥈35 · ⭐ 5.9K) - Python Data. Leaflet.js Maps. MIT - [GitHub](https://github.com/python-visualization/folium) (👨‍💻 130 · 🔀 2.1K · 📦 18K · 📋 960 - 23% open · ⏱️ 06.05.2022): ``` git clone https://github.com/python-visualization/folium ``` - [PyPi](https://pypi.org/project/folium) (📥 890K / month · 📦 660 · ⏱️ 19.11.2021): ``` pip install folium ``` - [Conda](https://anaconda.org/conda-forge/folium) (📥 1.2M · ⏱️ 03.12.2021): ``` conda install -c conda-forge folium ```
geopy (🥈34 · ⭐ 3.8K) - Geocoding library for Python. MIT - [GitHub](https://github.com/geopy/geopy) (👨‍💻 130 · 🔀 590 · 📦 43K · 📋 280 - 13% open · ⏱️ 07.08.2022): ``` git clone https://github.com/geopy/geopy ``` - [PyPi](https://pypi.org/project/geopy) (📥 4.5M / month · 📦 3.9K · ⏱️ 11.07.2021): ``` pip install geopy ``` - [Conda](https://anaconda.org/conda-forge/geopy) (📥 820K · ⏱️ 12.07.2021): ``` conda install -c conda-forge geopy ```
ipyleaflet (🥈33 · ⭐ 1.3K) - A Jupyter - Leaflet.js bridge. MIT - [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 80 · 🔀 340 · 📦 2.9K · 📋 520 - 39% open · ⏱️ 23.09.2022): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` - [PyPi](https://pypi.org/project/ipyleaflet) (📥 110K / month · 📦 110 · ⏱️ 07.07.2022): ``` pip install ipyleaflet ``` - [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 900K · ⏱️ 23.08.2022): ``` conda install -c conda-forge ipyleaflet ``` - [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 49K / month · 📦 3 · ⏱️ 23.08.2022): ``` npm install jupyter-leaflet ```
Fiona (🥈33 · ⭐ 960 · 💤) - Fiona reads and writes geographic data files. BSD-3 - [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 66 · 🔀 180 · 📦 9.7K · 📋 690 - 11% open · ⏱️ 01.03.2022): ``` git clone https://github.com/Toblerity/Fiona ``` - [PyPi](https://pypi.org/project/fiona) (📥 3.8M / month · 📦 790 · ⏱️ 10.06.2022): ``` pip install fiona ``` - [Conda](https://anaconda.org/conda-forge/fiona) (📥 3.4M · ⏱️ 30.05.2022): ``` conda install -c conda-forge fiona ```
ArcGIS API (🥉30 · ⭐ 1.4K) - Documentation and samples for ArcGIS API for Python. Apache-2 - [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 81 · 🔀 920 · 📥 5.7K · 📋 510 - 10% open · ⏱️ 17.08.2022): ``` git clone https://github.com/Esri/arcgis-python-api ``` - [PyPi](https://pypi.org/project/arcgis) (📥 50K / month · 📦 26 · ⏱️ 02.06.2022): ``` pip install arcgis ``` - [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (📥 7.3K · ⭐ 36 · ⏱️ 17.06.2022): ``` docker pull esridocker/arcgis-api-python-notebook ```
PySAL (🥉28 · ⭐ 1.1K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 - [GitHub](https://github.com/pysal/pysal) (👨‍💻 77 · 🔀 270 · 📋 610 - 1% open · ⏱️ 23.07.2022): ``` git clone https://github.com/pysal/pysal ``` - [PyPi](https://pypi.org/project/pysal) (📥 32K / month · 📦 32 · ⏱️ 30.01.2022): ``` pip install pysal ``` - [Conda](https://anaconda.org/conda-forge/pysal) (📥 460K · ⏱️ 01.08.2022): ``` conda install -c conda-forge pysal ```
geojson (🥉28 · ⭐ 740) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (👨‍💻 48 · 🔀 97 · 📦 10K · 📋 88 - 27% open · ⏱️ 07.05.2022): ``` git clone https://github.com/jazzband/geojson ``` - [PyPi](https://pypi.org/project/geojson) (📥 860K / month · 📦 1.1K · ⏱️ 09.08.2019): ``` pip install geojson ``` - [Conda](https://anaconda.org/conda-forge/geojson) (📥 590K · ⏱️ 11.08.2019): ``` conda install -c conda-forge geojson ```
GeoViews (🥉27 · ⭐ 440) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 28 · 🔀 68 · 📦 490 · 📋 310 - 36% open · ⏱️ 03.10.2022): ``` git clone https://github.com/holoviz/geoviews ``` - [PyPi](https://pypi.org/project/geoviews) (📥 7.1K / month · 📦 28 · ⏱️ 08.03.2022): ``` pip install geoviews ``` - [Conda](https://anaconda.org/conda-forge/geoviews) (📥 130K · ⏱️ 08.03.2022): ``` conda install -c conda-forge geoviews ```
EarthPy (🥉26 · ⭐ 390 · 💤) - A package built to support working with spatial data using open.. BSD-3 - [GitHub](https://github.com/earthlab/earthpy) (👨‍💻 40 · 🔀 140 · 📦 160 · 📋 230 - 8% open · ⏱️ 20.12.2021): ``` git clone https://github.com/earthlab/earthpy ``` - [PyPi](https://pypi.org/project/earthpy) (📥 7.6K / month · 📦 7 · ⏱️ 01.10.2021): ``` pip install earthpy ``` - [Conda](https://anaconda.org/conda-forge/earthpy) (📥 52K · ⏱️ 04.10.2021): ``` conda install -c conda-forge earthpy ```
Show 8 hidden projects... - Geocoder (🥈33 · ⭐ 1.5K · 💀) - Python Geocoder. MIT - Satpy (🥉30 · ⭐ 860) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (🥉26 · ⭐ 820) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (🥉23 · ⭐ 740 · 💀) - Google maps for Jupyter notebooks. BSD-3 - Mapbox GL (🥉23 · ⭐ 620 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - pymap3d (🥉23 · ⭐ 280) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 - prettymaps (🥉20 · ⭐ 8.8K · 💤) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - geoplotlib (🥉20 · ⭐ 970 · 💀) - python toolbox for visualizing geographical data and making maps. MIT

## Financial Data Back to top _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
yfinance (🥇37 · ⭐ 7.7K) - Download market data from Yahoo! Finances API. Apache-2 - [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 60 · 🔀 1.7K · 📦 14K · 📋 840 - 55% open · ⏱️ 04.10.2022): ``` git clone https://github.com/ranaroussi/yfinance ``` - [PyPi](https://pypi.org/project/yfinance) (📥 570K / month · 📦 140 · ⏱️ 16.06.2022): ``` pip install yfinance ``` - [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 56K · ⏱️ 10.07.2021): ``` conda install -c ranaroussi yfinance ```
Qlib (🥇31 · ⭐ 9.7K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT - [GitHub](https://github.com/microsoft/qlib) (👨‍💻 110 · 🔀 1.7K · 📥 330 · 📦 27 · 📋 680 - 33% open · ⏱️ 19.09.2022): ``` git clone https://github.com/microsoft/qlib ``` - [PyPi](https://pypi.org/project/pyqlib) (📥 1.6K / month · ⏱️ 15.06.2022): ``` pip install pyqlib ```
ta (🥈30 · ⭐ 3.3K) - Technical Analysis Library using Pandas and Numpy. MIT - [GitHub](https://github.com/bukosabino/ta) (👨‍💻 29 · 🔀 740 · 📦 1.4K · 📋 220 - 54% open · ⏱️ 23.08.2022): ``` git clone https://github.com/bukosabino/ta ``` - [PyPi](https://pypi.org/project/ta) (📥 77K / month · 📦 34 · ⏱️ 16.04.2022): ``` pip install ta ``` - [Conda](https://anaconda.org/conda-forge/ta) (📥 7.6K · ⏱️ 23.08.2022): ``` conda install -c conda-forge ta ```
IB-insync (🥈29 · ⭐ 1.9K) - Python sync/async framework for Interactive Brokers API. BSD-2 - [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 32 · 🔀 500 · 📋 430 - 1% open · ⏱️ 06.10.2022): ``` git clone https://github.com/erdewit/ib_insync ``` - [PyPi](https://pypi.org/project/ib_insync) (📥 11K / month · 📦 22 · ⏱️ 28.11.2021): ``` pip install ib_insync ``` - [Conda](https://anaconda.org/conda-forge/ib-insync) (📥 22K · ⏱️ 05.09.2022): ``` conda install -c conda-forge ib-insync ```
ffn (🥈26 · ⭐ 1.3K) - ffn - a financial function library for Python. MIT - [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 28 · 🔀 220 · 📦 230 · 📋 100 - 19% open · ⏱️ 01.07.2022): ``` git clone https://github.com/pmorissette/ffn ``` - [PyPi](https://pypi.org/project/ffn) (📥 36K / month · 📦 25 · ⏱️ 21.04.2021): ``` pip install ffn ``` - [Conda](https://anaconda.org/conda-forge/ffn) (📥 1.7K · ⏱️ 22.04.2021): ``` conda install -c conda-forge ffn ```
TensorTrade (🥉25 · ⭐ 4K) - An open source reinforcement learning framework for training,.. Apache-2 - [GitHub](https://github.com/tensortrade-org/tensortrade) (👨‍💻 61 · 🔀 930 · 📦 36 · 📋 240 - 17% open · ⏱️ 23.08.2022): ``` git clone https://github.com/tensortrade-org/tensortrade ``` - [PyPi](https://pypi.org/project/tensortrade) (📥 530 / month · 📦 1 · ⏱️ 10.05.2021): ``` pip install tensortrade ``` - [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 1.7K · ⏱️ 10.05.2021): ``` conda install -c conda-forge tensortrade ```
bt (🥉25 · ⭐ 1.5K) - bt - flexible backtesting for Python. MIT - [GitHub](https://github.com/pmorissette/bt) (👨‍💻 27 · 🔀 330 · 📦 140 · 📋 300 - 21% open · ⏱️ 24.08.2022): ``` git clone https://github.com/pmorissette/bt ``` - [PyPi](https://pypi.org/project/bt) (📥 5.4K / month · 📦 21 · ⏱️ 21.04.2021): ``` pip install bt ``` - [Conda](https://anaconda.org/conda-forge/bt) (📥 7.8K · ⏱️ 24.06.2022): ``` conda install -c conda-forge bt ```
tf-quant-finance (🥉23 · ⭐ 3.3K) - High-performance TensorFlow library for quantitative.. Apache-2 - [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 43 · 🔀 450 · 📋 48 - 47% open · ⏱️ 23.09.2022): ``` git clone https://github.com/google/tf-quant-finance ``` - [PyPi](https://pypi.org/project/tf-quant-finance) (📥 2K / month · 📦 2 · ⏱️ 31.05.2022): ``` pip install tf-quant-finance ```
stockstats (🥉23 · ⭐ 1K · 💤) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 - [GitHub](https://github.com/jealous/stockstats) (👨‍💻 8 · 🔀 260 · 📦 540 · 📋 89 - 12% open · ⏱️ 07.01.2022): ``` git clone https://github.com/jealous/stockstats ``` - [PyPi](https://pypi.org/project/stockstats) (📥 6.5K / month · 📦 29 · ⏱️ 07.01.2022): ``` pip install stockstats ```
Crypto Signals (🥉21 · ⭐ 4.2K) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (👨‍💻 28 · 🔀 1.1K · 📋 260 - 20% open · ⏱️ 09.08.2022): ``` git clone https://github.com/CryptoSignal/crypto-signal ``` - [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (📥 140K · ⭐ 8 · ⏱️ 03.09.2020): ``` docker pull shadowreaver/crypto-signal ```
finmarketpy (🥉19 · ⭐ 3K) - Python library for backtesting trading strategies & analyzing.. Apache-2 - [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 14 · 🔀 450 · 📥 40 · 📦 5 · 📋 26 - 88% open · ⏱️ 05.04.2022): ``` git clone https://github.com/cuemacro/finmarketpy ``` - [PyPi](https://pypi.org/project/finmarketpy) (📥 110 / month · ⏱️ 07.10.2021): ``` pip install finmarketpy ```
Show 14 hidden projects... - zipline (🥇32 · ⭐ 15K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (🥈30 · ⭐ 4.6K · 💀) - Portfolio and risk analytics in Python. Apache-2 - backtrader (🥈29 · ⭐ 9.4K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - arch (🥈29 · ⭐ 990) - ARCH models in Python. ❗️NCSA - Alpha Vantage (🥈26 · ⭐ 3.8K · 💀) - A python wrapper for Alpha Vantage API for financial data. MIT - Alphalens (🥈26 · ⭐ 2.4K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2 - Enigma Catalyst (🥈26 · ⭐ 2.4K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - empyrical (🥈26 · ⭐ 990 · 💀) - Common financial risk and performance metrics. Used by zipline.. Apache-2 - PyAlgoTrade (🥉24 · ⭐ 3.8K · 💀) - Python Algorithmic Trading Library. Apache-2 - Backtesting.py (🥉21 · ⭐ 2.9K · 💤) - Backtest trading strategies in Python. ❗️AGPL-3.0 - FinTA (🥉20 · ⭐ 1.7K) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - FinQuant (🥉19 · ⭐ 830 · 💀) - A program for financial portfolio management, analysis and.. MIT - surpriver (🥉12 · ⭐ 1.5K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (🥉7 · ⭐ 120 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0

## Time Series Data Back to top _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
Prophet (🥇36 · ⭐ 15K) - Tool for producing high quality forecasts for time series data that has.. MIT - [GitHub](https://github.com/facebook/prophet) (👨‍💻 160 · 🔀 4.3K · 📥 920 · 📋 1.9K - 13% open · ⏱️ 21.09.2022): ``` git clone https://github.com/facebook/prophet ``` - [PyPi](https://pypi.org/project/fbprophet) (📥 1.8M / month · 📦 130 · ⏱️ 05.09.2020): ``` pip install fbprophet ``` - [Conda](https://anaconda.org/conda-forge/prophet) (📥 120K · ⏱️ 10.09.2022): ``` conda install -c conda-forge prophet ```
sktime (🥇35 · ⭐ 5.7K) - A unified framework for machine learning with time series. BSD-3 - [GitHub](https://github.com/sktime/sktime) (👨‍💻 200 · 🔀 940 · 📥 76 · 📦 600 · 📋 1.4K - 32% open · ⏱️ 03.10.2022): ``` git clone https://github.com/alan-turing-institute/sktime ``` - [PyPi](https://pypi.org/project/sktime) (📥 320K / month · 📦 26 · ⏱️ 29.06.2022): ``` pip install sktime ``` - [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 19K · ⏱️ 05.10.2022): ``` conda install -c conda-forge sktime-all-extras ```
pmdarima (🥇32 · ⭐ 1.3K) - A statistical library designed to fill the void in Pythons time series.. MIT - [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 22 · 🔀 220 · 📦 2.6K · 📋 290 - 9% open · ⏱️ 23.09.2022): ``` git clone https://github.com/alkaline-ml/pmdarima ``` - [PyPi](https://pypi.org/project/pmdarima) (📥 1.4M / month · 📦 57 · ⏱️ 22.02.2022): ``` pip install pmdarima ``` - [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 69K · ⏱️ 24.08.2022): ``` conda install -c conda-forge pmdarima ```
STUMPY (🥈31 · ⭐ 2.4K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 - [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 31 · 🔀 230 · 📦 270 · 📋 340 - 12% open · ⏱️ 04.10.2022): ``` git clone https://github.com/TDAmeritrade/stumpy ``` - [PyPi](https://pypi.org/project/stumpy) (📥 260K / month · 📦 4 · ⏱️ 31.03.2022): ``` pip install stumpy ``` - [Conda](https://anaconda.org/conda-forge/stumpy) (📥 56K · ⏱️ 31.03.2022): ``` conda install -c conda-forge stumpy ```
Darts (🥈30 · ⭐ 4.7K) - A python library for easy manipulation and forecasting of time series. Apache-2 - [GitHub](https://github.com/unit8co/darts) (👨‍💻 65 · 🔀 520 · 📦 100 · 📋 670 - 26% open · ⏱️ 04.10.2022): ``` git clone https://github.com/unit8co/darts ``` - [PyPi](https://pypi.org/project/u8darts) (📥 7.4K / month · 📦 3 · ⏱️ 22.06.2022): ``` pip install u8darts ``` - [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 15K · ⏱️ 05.10.2022): ``` conda install -c conda-forge u8darts-all ``` - [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 360 · ⏱️ 04.10.2022): ``` docker pull unit8/darts ```
NeuralProphet (🥈30 · ⭐ 2.6K) - NeuralProphet: A simple forecasting package. MIT - [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 30 · 🔀 330 · 📦 130 · 📋 310 - 25% open · ⏱️ 22.09.2022): ``` git clone https://github.com/ourownstory/neural_prophet ``` - [PyPi](https://pypi.org/project/neuralprophet) (📥 82K / month · ⏱️ 22.03.2022): ``` pip install neuralprophet ```
pytorch-forecasting (🥈30 · ⭐ 2.3K) - Time series forecasting with PyTorch. MIT - [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨‍💻 33 · 🔀 370 · 📋 520 - 50% open · ⏱️ 03.10.2022): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` - [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 120K / month · 📦 4 · ⏱️ 23.05.2022): ``` pip install pytorch-forecasting ``` - [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 29K · ⏱️ 23.05.2022): ``` conda install -c conda-forge pytorch-forecasting ```
tslearn (🥈30 · ⭐ 2.3K) - A machine learning toolkit dedicated to time-series data. BSD-2 - [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 40 · 🔀 300 · 📦 580 · 📋 290 - 35% open · ⏱️ 04.10.2022): ``` git clone https://github.com/tslearn-team/tslearn ``` - [PyPi](https://pypi.org/project/tslearn) (📥 130K / month · 📦 19 · ⏱️ 16.08.2021): ``` pip install tslearn ``` - [Conda](https://anaconda.org/conda-forge/tslearn) (📥 320K · ⏱️ 15.01.2022): ``` conda install -c conda-forge tslearn ```
tsfresh (🥈29 · ⭐ 6.7K · 💤) - Automatic extraction of relevant features from time series:. MIT - [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 82 · 🔀 1K · 📋 490 - 10% open · ⏱️ 21.12.2021): ``` git clone https://github.com/blue-yonder/tsfresh ``` - [PyPi](https://pypi.org/project/tsfresh) (📥 420K / month · 📦 60 · ⏱️ 21.12.2021): ``` pip install tsfresh ``` - [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 260K · ⏱️ 21.12.2021): ``` conda install -c conda-forge tsfresh ```
GluonTS (🥈29 · ⭐ 3K) - Probabilistic time series modeling in Python. Apache-2 - [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 94 · 🔀 620 · 📋 760 - 31% open · ⏱️ 06.10.2022): ``` git clone https://github.com/awslabs/gluon-ts ``` - [PyPi](https://pypi.org/project/gluonts) (📥 130K / month · 📦 7 · ⏱️ 30.06.2022): ``` pip install gluonts ``` - [Conda](https://anaconda.org/anaconda/gluonts) (📥 150 · ⏱️ 14.10.2021): ``` conda install -c anaconda gluonts ```
StatsForecast (🥈28 · ⭐ 1.5K) - Lightning fast forecasting with statistical and econometric.. Apache-2 - [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 13 · 🔀 85 · 📦 61 · 📋 100 - 41% open · ⏱️ 06.10.2022): ``` git clone https://github.com/Nixtla/statsforecast ``` - [PyPi](https://pypi.org/project/statsforecast) (📥 110K / month · 📦 5 · ⏱️ 27.06.2022): ``` pip install statsforecast ``` - [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 14K · ⏱️ 05.10.2022): ``` conda install -c conda-forge statsforecast ```
uber/orbit (🥉25 · ⭐ 1.5K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 - [GitHub](https://github.com/uber/orbit) (👨‍💻 18 · 🔀 110 · 📦 9 · 📋 380 - 15% open · ⏱️ 14.09.2022): ``` git clone https://github.com/uber/orbit ``` - [PyPi](https://pypi.org/project/orbit-ml) (📥 200K / month · 📦 1 · ⏱️ 28.04.2022): ``` pip install orbit-ml ``` - [Conda](https://anaconda.org/conda-forge/orbit-ml) (📥 1.6K · ⏱️ 08.03.2022): ``` conda install -c conda-forge orbit-ml ```
pyts (🥉25 · ⭐ 1.3K) - A Python package for time series classification. BSD-3 - [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 11 · 🔀 140 · 📦 260 · 📋 66 - 59% open · ⏱️ 16.06.2022): ``` git clone https://github.com/johannfaouzi/pyts ``` - [PyPi](https://pypi.org/project/pyts) (📥 130K / month · 📦 11 · ⏱️ 31.10.2021): ``` pip install pyts ``` - [Conda](https://anaconda.org/conda-forge/pyts) (📥 14K · ⏱️ 31.10.2021): ``` conda install -c conda-forge pyts ```
Streamz (🥉25 · ⭐ 1.1K) - Real-time stream processing for python. BSD-3 - [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 45 · 🔀 140 · 📦 320 · 📋 250 - 41% open · ⏱️ 27.07.2022): ``` git clone https://github.com/python-streamz/streamz ``` - [PyPi](https://pypi.org/project/streamz) (📥 13K / month · 📦 35 · ⏱️ 04.10.2021): ``` pip install streamz ``` - [Conda](https://anaconda.org/conda-forge/streamz) (📥 410K · ⏱️ 28.07.2022): ``` conda install -c conda-forge streamz ```
greykite (🥉23 · ⭐ 1.6K) - A flexible, intuitive and fast forecasting library. BSD-2 - [GitHub](https://github.com/linkedin/greykite) (👨‍💻 8 · 🔀 80 · 📦 11 · 📋 79 - 20% open · ⏱️ 31.08.2022): ``` git clone https://github.com/linkedin/greykite ``` - [PyPi](https://pypi.org/project/greykite) (📥 19K / month · ⏱️ 15.12.2021): ``` pip install greykite ```
NeuralForecast (🥉22 · ⭐ 890 · 📈) - Scalable and user friendly neural forecasting algorithms.. Apache-2 - [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 22 · 🔀 83 · 📦 4 · 📋 100 - 50% open · ⏱️ 04.10.2022): ``` git clone https://github.com/Nixtla/neuralforecast ``` - [PyPi](https://pypi.org/project/neuralforecast) (📥 2.4K / month · ⏱️ 02.06.2022): ``` pip install neuralforecast ``` - [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 2.5K · ⏱️ 04.10.2022): ``` conda install -c conda-forge neuralforecast ```
seglearn (🥉22 · ⭐ 530) - Python module for machine learning time series:. BSD-3 - [GitHub](https://github.com/dmbee/seglearn) (👨‍💻 14 · 🔀 61 · 📦 13 · 📋 29 - 20% open · ⏱️ 27.08.2022): ``` git clone https://github.com/dmbee/seglearn ``` - [PyPi](https://pypi.org/project/seglearn) (📥 980 / month · 📦 1 · ⏱️ 13.03.2021): ``` pip install seglearn ```
TSFEL (🥉20 · ⭐ 560 · 💤) - An intuitive library to extract features from time series. BSD-3 - [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 14 · 🔀 100 · 📦 41 · 📋 62 - 29% open · ⏱️ 16.03.2022): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` - [PyPi](https://pypi.org/project/tsfel) (📥 7.1K / month · ⏱️ 14.02.2021): ``` pip install tsfel ```
Auto TS (🥉19 · ⭐ 490) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 6 · 🔀 89 · 📋 77 - 10% open · ⏱️ 16.08.2022): ``` git clone https://github.com/AutoViML/Auto_TS ``` - [PyPi](https://pypi.org/project/auto-ts) (📥 5.9K / month · ⏱️ 31.01.2022): ``` pip install auto-ts ```
atspy (🥉14 · ⭐ 460 · 💤) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - [GitHub](https://github.com/firmai/atspy) (👨‍💻 5 · 🔀 86 · 📦 8 · 📋 22 - 90% open · ⏱️ 18.12.2021): ``` git clone https://github.com/firmai/atspy ``` - [PyPi](https://pypi.org/project/atspy) (📥 600 / month · ⏱️ 24.04.2020): ``` pip install atspy ```
Show 8 hidden projects... - PyFlux (🥉23 · ⭐ 2K · 💀) - Open source time series library for Python. BSD-3 - luminol (🥉22 · ⭐ 1.1K · 💀) - Anomaly Detection and Correlation library. Apache-2 - pydlm (🥉20 · ⭐ 430 · 💀) - A python library for Bayesian time series modeling. BSD-3 - tick (🥉20 · ⭐ 400 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - ADTK (🥉19 · ⭐ 860 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - matrixprofile-ts (🥉19 · ⭐ 690 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2 - tsflex (🥉16 · ⭐ 170) - Flexible time series feature extraction & processing. MIT - tsaug (🥉13 · ⭐ 260 · 💀) - A Python package for time series augmentation. Apache-2

## Medical Data Back to top _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
MNE (🥇37 · ⭐ 2K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 - [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 310 · 🔀 1.1K · 📦 1.9K · 📋 4.3K - 10% open · ⏱️ 05.10.2022): ``` git clone https://github.com/mne-tools/mne-python ``` - [PyPi](https://pypi.org/project/mne) (📥 46K / month · 📦 220 · ⏱️ 12.05.2022): ``` pip install mne ``` - [Conda](https://anaconda.org/conda-forge/mne) (📥 240K · ⏱️ 24.08.2022): ``` conda install -c conda-forge mne ```
NIPYPE (🥇35 · ⭐ 650) - Workflows and interfaces for neuroimaging packages. Apache-2 - [GitHub](https://github.com/nipy/nipype) (👨‍💻 240 · 🔀 500 · 📦 1.1K · 📋 1.3K - 29% open · ⏱️ 27.09.2022): ``` git clone https://github.com/nipy/nipype ``` - [PyPi](https://pypi.org/project/nipype) (📥 72K / month · 📦 160 · ⏱️ 06.06.2022): ``` pip install nipype ``` - [Conda](https://anaconda.org/conda-forge/nipype) (📥 510K · ⏱️ 21.09.2022): ``` conda install -c conda-forge nipype ```
MONAI (🥈34 · ⭐ 3.4K) - AI Toolkit for Healthcare Imaging. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 120 · 🔀 660 · 📦 520 · 📋 2K - 11% open · ⏱️ 06.10.2022): ``` git clone https://github.com/Project-MONAI/MONAI ``` - [PyPi](https://pypi.org/project/monai) (📥 42K / month · 📦 20 · ⏱️ 05.07.2022): ``` pip install monai ``` - [Conda](https://anaconda.org/conda-forge/monai) (📥 5.1K · ⏱️ 16.09.2022): ``` conda install -c conda-forge monai ```
Lifelines (🥈34 · ⭐ 2K) - Survival analysis in Python. MIT - [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 100 · 🔀 500 · 📦 1.1K · 📋 880 - 26% open · ⏱️ 25.09.2022): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` - [PyPi](https://pypi.org/project/lifelines) (📥 450K / month · 📦 110 · ⏱️ 26.06.2022): ``` pip install lifelines ``` - [Conda](https://anaconda.org/conda-forge/lifelines) (📥 220K · ⏱️ 18.05.2022): ``` conda install -c conda-forge lifelines ```
Nilearn (🥈34 · ⭐ 890) - Machine learning for NeuroImaging in Python. BSD-3 - [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 190 · 🔀 460 · 📥 71 · 📦 1.7K · 📋 1.7K - 16% open · ⏱️ 29.09.2022): ``` git clone https://github.com/nilearn/nilearn ``` - [PyPi](https://pypi.org/project/nilearn) (📥 27K / month · 📦 240 · ⏱️ 13.04.2022): ``` pip install nilearn ``` - [Conda](https://anaconda.org/conda-forge/nilearn) (📥 190K · ⏱️ 24.08.2022): ``` conda install -c conda-forge nilearn ```
NiBabel (🥈33 · ⭐ 500) - Python package to access a cacophony of neuro-imaging file formats. MIT - [GitHub](https://github.com/nipy/nibabel) (👨‍💻 94 · 🔀 240 · 📋 470 - 30% open · ⏱️ 30.09.2022): ``` git clone https://github.com/nipy/nibabel ``` - [PyPi](https://pypi.org/project/nibabel) (📥 230K / month · 📦 1K · ⏱️ 18.06.2022): ``` pip install nibabel ``` - [Conda](https://anaconda.org/conda-forge/nibabel) (📥 480K · ⏱️ 31.08.2022): ``` conda install -c conda-forge nibabel ```
Hail (🥈32 · ⭐ 820) - Scalable genomic data analysis. MIT - [GitHub](https://github.com/hail-is/hail) (👨‍💻 82 · 🔀 220 · 📦 80 · 📋 2.1K - 2% open · ⏱️ 06.10.2022): ``` git clone https://github.com/hail-is/hail ``` - [PyPi](https://pypi.org/project/hail) (📥 25K / month · 📦 12 · ⏱️ 07.07.2022): ``` pip install hail ```
DIPY (🥈30 · ⭐ 540) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 - [GitHub](https://github.com/dipy/dipy) (👨‍💻 130 · 🔀 360 · 📦 620 · 📋 820 - 18% open · ⏱️ 30.09.2022): ``` git clone https://github.com/dipy/dipy ``` - [PyPi](https://pypi.org/project/dipy) (📥 18K / month · 📦 80 · ⏱️ 11.03.2022): ``` pip install dipy ``` - [Conda](https://anaconda.org/conda-forge/dipy) (📥 330K · ⏱️ 15.03.2022): ``` conda install -c conda-forge dipy ```
pyRiemann (🥉25 · ⭐ 420) - Python machine learning package based on sklearn API for multivariate.. BSD-3 - [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 21 · 🔀 130 · 📦 150 · 📋 93 - 17% open · ⏱️ 04.09.2022): ``` git clone https://github.com/pyRiemann/pyRiemann ``` - [PyPi](https://pypi.org/project/pyriemann) (📥 28K / month · 📦 13 · ⏱️ 27.06.2021): ``` pip install pyriemann ```
DeepVariant (🥉24 · ⭐ 2.6K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 - [GitHub](https://github.com/google/deepvariant) (👨‍💻 24 · 🔀 640 · 📥 4.2K · 📋 520 - 1% open · ⏱️ 02.06.2022): ``` git clone https://github.com/google/deepvariant ``` - [Conda](https://anaconda.org/bioconda/deepvariant) (📥 45K · ⏱️ 05.06.2022): ``` conda install -c bioconda deepvariant ```
Medical Detection Toolkit (🥉14 · ⭐ 1.2K) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (👨‍💻 3 · 🔀 290 · 📋 130 - 33% open · ⏱️ 04.04.2022): ``` git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit ```
Show 9 hidden projects... - NiftyNet (🥉25 · ⭐ 1.3K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (🥉23 · ⭐ 320 · 💀) - Neuroimaging in Python FMRI analysis package. BSD-3 - MedPy (🥉21 · ⭐ 430) - Medical image processing in Python. ❗️GPL-3.0 - Brainiak (🥉21 · ⭐ 280 · 💀) - Brain Imaging Analysis Kit. Apache-2 - DLTK (🥉20 · ⭐ 1.3K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (🥉20 · ⭐ 210) - An open-source toolkit for large-scale genomic analysis. Apache-2 - MedicalTorch (🥉15 · ⭐ 790 · 💀) - A medical imaging framework for Pytorch. Apache-2 - DeepNeuro (🥉13 · ⭐ 110 · 💀) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (🥉12 · ⭐ 1.5K · 💀) - Many studies have shown that the performance on deep learning is.. MIT

## Tabular Data Back to top _Libraries for processing tabular and structured data._
carefree-learn (🥈22 · ⭐ 360) - Deep Learning PyTorch. MIT - [GitHub](https://github.com/carefree0910/carefree-learn) (👨‍💻 1 · 🔀 33 · 📦 3 · ⏱️ 03.10.2022): ``` git clone https://github.com/carefree0910/carefree-learn ``` - [PyPi](https://pypi.org/project/carefree-learn) (📥 220 / month · ⏱️ 20.06.2022): ``` pip install carefree-learn ```
pytorch_tabular (🥉17 · ⭐ 740) - A standard framework for modelling Deep Learning Models.. MIT - [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 10 · 🔀 76 · 📋 74 - 28% open · ⏱️ 07.06.2022): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` - [PyPi](https://pypi.org/project/pytorch_tabular) (📥 1.4K / month · 📦 1 · ⏱️ 01.09.2021): ``` pip install pytorch_tabular ```
deltapy (🥉11 · ⭐ 460 · 💤) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT - [GitHub](https://github.com/firmai/deltapy) (👨‍💻 4 · 🔀 46 · 📦 2 · 📋 3 - 66% open · ⏱️ 01.03.2022): ``` git clone https://github.com/firmai/deltapy ``` - [PyPi](https://pypi.org/project/deltapy) (📥 120 / month · ⏱️ 09.04.2020): ``` pip install deltapy ```
Show 2 hidden projects... - miceforest (🥇23 · ⭐ 180) - Multiple Imputation with LightGBM in Python. MIT - upgini (🥉17 · ⭐ 150) - Free automated data enrichment library for machine learning searches.. BSD-3

## Optical Character Recognition Back to top _Libraries for optical character recognition (OCR) and text extraction from images or videos._
PaddleOCR (🥇38 · ⭐ 25K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 130 · 🔀 5.2K · 📦 860 · 📋 5.5K - 19% open · ⏱️ 29.09.2022): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` - [PyPi](https://pypi.org/project/paddleocr) (📥 36K / month · 📦 9 · ⏱️ 10.05.2022): ``` pip install paddleocr ```
EasyOCR (🥇35 · ⭐ 16K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 - [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 110 · 🔀 2.2K · 📥 2.3M · 📦 1.6K · 📋 660 - 17% open · ⏱️ 17.09.2022): ``` git clone https://github.com/JaidedAI/EasyOCR ``` - [PyPi](https://pypi.org/project/easyocr) (📥 130K / month · 📦 37 · ⏱️ 02.06.2022): ``` pip install easyocr ```
Tesseract (🥈33 · ⭐ 4.4K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 43 · 🔀 620 · 📋 320 - 5% open · ⏱️ 29.09.2022): ``` git clone https://github.com/madmaze/pytesseract ``` - [PyPi](https://pypi.org/project/pytesseract) (📥 660K / month · 📦 960 · ⏱️ 19.02.2022): ``` pip install pytesseract ``` - [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 530K · ⏱️ 15.03.2022): ``` conda install -c conda-forge pytesseract ```
OCRmyPDF (🥈30 · ⭐ 7.4K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 - [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 74 · 🔀 610 · 📋 900 - 10% open · ⏱️ 04.10.2022): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` - [PyPi](https://pypi.org/project/ocrmypdf) (📥 28K / month · 📦 13 · ⏱️ 04.07.2022): ``` pip install ocrmypdf ``` - [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 28K · ⏱️ 04.10.2022): ``` conda install -c conda-forge ocrmypdf ```
MMOCR (🥈28 · ⭐ 2.8K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 - [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 61 · 🔀 520 · 📦 30 · 📋 730 - 18% open · ⏱️ 29.09.2022): ``` git clone https://github.com/open-mmlab/mmocr ``` - [PyPi](https://pypi.org/project/mmocr) (📥 8.9K / month · 📦 1 · ⏱️ 05.05.2022): ``` pip install mmocr ```
tesserocr (🥈28 · ⭐ 1.7K) - A Python wrapper for the tesseract-ocr API. MIT - [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 27 · 🔀 220 · 📦 710 · 📋 250 - 32% open · ⏱️ 26.08.2022): ``` git clone https://github.com/sirfz/tesserocr ``` - [PyPi](https://pypi.org/project/tesserocr) (📥 53K / month · 📦 67 · ⏱️ 19.06.2021): ``` pip install tesserocr ``` - [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 85K · ⏱️ 04.05.2022): ``` conda install -c conda-forge tesserocr ```
pdftabextract (🥉21 · ⭐ 2K) - A set of tools for extracting tables from PDF files helping to.. Apache-2 - [GitHub](https://github.com/WZBSocialScienceCenter/pdftabextract) (👨‍💻 3 · 🔀 350 · 📦 42 · 📋 21 - 14% open · ⏱️ 24.06.2022): ``` git clone https://github.com/WZBSocialScienceCenter/pdftabextract ``` - [PyPi](https://pypi.org/project/pdftabextract) (📥 560 / month · 📦 1 · ⏱️ 09.01.2018): ``` pip install pdftabextract ```
keras-ocr (🥉21 · ⭐ 1.1K) - A packaged and flexible version of the CRAFT text detector and.. MIT - [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 15 · 🔀 280 · 📥 320K · 📋 180 - 40% open · ⏱️ 19.05.2022): ``` git clone https://github.com/faustomorales/keras-ocr ``` - [PyPi](https://pypi.org/project/keras-ocr) (📥 6.4K / month · 📦 2 · ⏱️ 19.05.2022): ``` pip install keras-ocr ``` - [Conda](https://anaconda.org/anaconda/keras-ocr) (📥 100 · ⏱️ 14.01.2022): ``` conda install -c anaconda keras-ocr ```
attention-ocr (🥉21 · ⭐ 930 · 💤) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT - [GitHub](https://github.com/emedvedev/attention-ocr) (👨‍💻 27 · 🔀 240 · 📦 20 · 📋 150 - 15% open · ⏱️ 29.10.2021): ``` git clone https://github.com/emedvedev/attention-ocr ``` - [PyPi](https://pypi.org/project/aocr) (📥 240 / month · ⏱️ 19.04.2019): ``` pip install aocr ```
calamari (🥉20 · ⭐ 940) - Line based ATR Engine based on OCRopy. Apache-2 - [GitHub](https://github.com/Calamari-OCR/calamari) (👨‍💻 19 · 🔀 200 · 📋 250 - 19% open · ⏱️ 10.06.2022): ``` git clone https://github.com/Calamari-OCR/calamari ``` - [PyPi](https://pypi.org/project/calamari_ocr) (📥 830 / month · 📦 2 · ⏱️ 13.11.2018): ``` pip install calamari_ocr ```
Mozart (🥉10 · ⭐ 410) - An optical music recognition (OMR) system. Converts sheet music.. Apache-2 - [GitHub](https://github.com/aashrafh/Mozart) (👨‍💻 5 · 🔀 59 · 📋 12 - 25% open · ⏱️ 24.08.2022): ``` git clone https://github.com/aashrafh/Mozart ```
Show 1 hidden projects... - doc2text (🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT

## Data Containers & Structures Back to top _General-purpose data containers & structures as well as utilities & extensions for pandas._ 🔗 best-of-python - Data Containers ( ⭐ 2.5K) - Collection of data-container, dataframe, and pandas-..
## Data Loading & Extraction Back to top _Libraries for loading, collecting, and extracting data from a variety of data sources and formats._ 🔗 best-of-python - Data Extraction ( ⭐ 2.5K) - Collection of data-loading and -extraction libraries.
## Web Scraping & Crawling Back to top _Libraries for web scraping, crawling, downloading, and mining as well as libraries._ 🔗 best-of-web-python - Web Scraping ( ⭐ 1.7K) - Collection of web-scraping and crawling libraries.
## Data Pipelines & Streaming Back to top _Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._ 🔗 best-of-python - Data Pipelines ( ⭐ 2.5K) - Libraries for data batch- and stream-processing,..
## Distributed Machine Learning Back to top _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._
Ray (🥇44 · ⭐ 22K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 - [GitHub](https://github.com/ray-project/ray) (👨‍💻 770 · 🔀 3.9K · 📦 6K · 📋 12K - 23% open · ⏱️ 06.10.2022): ``` git clone https://github.com/ray-project/ray ``` - [PyPi](https://pypi.org/project/ray) (📥 2M / month · 📦 280 · ⏱️ 09.06.2022): ``` pip install ray ``` - [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 64K · ⏱️ 08.09.2022): ``` conda install -c conda-forge ray-tune ```
dask (🥇43 · ⭐ 10K) - Parallel computing with task scheduling. BSD-3 - [GitHub](https://github.com/dask/dask) (👨‍💻 560 · 🔀 1.5K · 📦 40K · 📋 4.6K - 17% open · ⏱️ 05.10.2022): ``` git clone https://github.com/dask/dask ``` - [PyPi](https://pypi.org/project/dask) (📥 5.8M / month · 📦 2.7K · ⏱️ 24.06.2022): ``` pip install dask ``` - [Conda](https://anaconda.org/conda-forge/dask) (📥 6.8M · ⏱️ 01.10.2022): ``` conda install -c conda-forge dask ```
dask.distributed (🥇40 · ⭐ 1.4K) - A distributed task scheduler for Dask. BSD-3 - [GitHub](https://github.com/dask/distributed) (👨‍💻 290 · 🔀 650 · 📦 25K · 📋 3.2K - 38% open · ⏱️ 06.10.2022): ``` git clone https://github.com/dask/distributed ``` - [PyPi](https://pypi.org/project/distributed) (📥 4.1M / month · 📦 1.2K · ⏱️ 24.06.2022): ``` pip install distributed ``` - [Conda](https://anaconda.org/conda-forge/distributed) (📥 8.2M · ⏱️ 01.10.2022): ``` conda install -c conda-forge distributed ```
horovod (🥇38 · ⭐ 13K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 - [GitHub](https://github.com/horovod/horovod) (👨‍💻 160 · 🔀 2.1K · 📦 670 · 📋 2.1K - 15% open · ⏱️ 04.10.2022): ``` git clone https://github.com/horovod/horovod ``` - [PyPi](https://pypi.org/project/horovod) (📥 75K / month · 📦 30 · ⏱️ 21.06.2022): ``` pip install horovod ```
DeepSpeed (🥈34 · ⭐ 7.9K) - DeepSpeed is a deep learning optimization library that makes.. MIT - [GitHub](https://github.com/microsoft/DeepSpeed) (👨‍💻 130 · 🔀 920 · 📦 390 · 📋 1.1K - 52% open · ⏱️ 05.10.2022): ``` git clone https://github.com/microsoft/DeepSpeed ``` - [PyPi](https://pypi.org/project/deepspeed) (📥 520K / month · 📦 12 · ⏱️ 25.05.2022): ``` pip install deepspeed ``` - [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 14K · ⭐ 3 · ⏱️ 02.09.2022): ``` docker pull deepspeed/deepspeed ```
BigDL (🥈34 · ⭐ 4K) - Building Large-Scale AI Applications for Distributed Big Data. Apache-2 - [GitHub](https://github.com/intel-analytics/BigDL) (👨‍💻 170 · 🔀 1K · 📦 40 · 📋 1.6K - 37% open · ⏱️ 30.09.2022): ``` git clone https://github.com/intel-analytics/BigDL ``` - [PyPi](https://pypi.org/project/bigdl) (📥 4.5K / month · 📦 1 · ⏱️ 07.07.2022): ``` pip install bigdl ``` - [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (📦 4 · ⏱️ 20.04.2021): ``` com.intel.analytics.bigdl bigdl-SPARK_2.4 [VERSION] ```
H2O-3 (🥈33 · ⭐ 6K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 - [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 230 · 🔀 1.9K · ⏱️ 05.10.2022): ``` git clone https://github.com/h2oai/h2o-3 ``` - [PyPi](https://pypi.org/project/h2o) (📥 430K / month · 📦 76 · ⏱️ 26.05.2022): ``` pip install h2o ```
metrics (🥈33 · ⭐ 1.1K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 - [GitHub](https://github.com/Lightning-AI/metrics) (👨‍💻 150 · 🔀 230 · 📥 980 · 📦 4.9K · 📋 450 - 10% open · ⏱️ 06.10.2022): ``` git clone https://github.com/Lightning-AI/metrics ``` - [PyPi](https://pypi.org/project/metrics) (📥 2.8K / month · 📦 14 · ⏱️ 28.04.2018): ``` pip install metrics ``` - [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 510K · ⏱️ 05.10.2022): ``` conda install -c conda-forge torchmetrics ```
FairScale (🥈32 · ⭐ 1.9K) - PyTorch extensions for high performance and large scale training. BSD-3 - [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 64 · 🔀 190 · 📦 600 · 📋 330 - 20% open · ⏱️ 05.10.2022): ``` git clone https://github.com/facebookresearch/fairscale ``` - [PyPi](https://pypi.org/project/fairscale) (📥 430K / month · 📦 20 · ⏱️ 09.03.2022): ``` pip install fairscale ``` - [Conda](https://anaconda.org/conda-forge/fairscale) (📥 56K · ⏱️ 20.06.2022): ``` conda install -c conda-forge fairscale ```
ColossalAI (🥈28 · ⭐ 5K) - Colossal-AI: A Unified Deep Learning System for Big Model Era. Apache-2 - [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 72 · 🔀 500 · 📦 120 · 📋 230 - 29% open · ⏱️ 06.10.2022): ``` git clone https://github.com/hpcaitech/colossalai ```
SynapseML (🥈28 · ⭐ 3.8K) - Simple and Distributed Machine Learning. MIT - [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 99 · 🔀 710 · 📋 610 - 41% open · ⏱️ 29.09.2022): ``` git clone https://github.com/microsoft/SynapseML ``` - [PyPi](https://pypi.org/project/synapseml) (📥 52K / month · 📦 1 · ⏱️ 12.01.2022): ``` pip install synapseml ```
Elephas (🥈28 · ⭐ 1.5K) - Distributed Deep learning with Keras & Spark. MIT keras - [GitHub](https://github.com/maxpumperla/elephas) (👨‍💻 27 · 🔀 300 · 📦 59 · 📋 160 - 10% open · ⏱️ 31.08.2022): ``` git clone https://github.com/maxpumperla/elephas ``` - [PyPi](https://pypi.org/project/elephas) (📥 69K / month · 📦 3 · ⏱️ 30.03.2022): ``` pip install elephas ``` - [Conda](https://anaconda.org/conda-forge/elephas) (📥 9.7K · ⏱️ 02.06.2021): ``` conda install -c conda-forge elephas ```
petastorm (🥈28 · ⭐ 1.5K) - Petastorm library enables single machine or distributed training.. Apache-2 - [GitHub](https://github.com/uber/petastorm) (👨‍💻 45 · 🔀 260 · 📥 340 · 📦 78 · 📋 300 - 52% open · ⏱️ 14.09.2022): ``` git clone https://github.com/uber/petastorm ``` - [PyPi](https://pypi.org/project/petastorm) (📥 49K / month · 📦 7 · ⏱️ 19.02.2022): ``` pip install petastorm ```
mpi4py (🥈28 · ⭐ 580) - Python bindings for MPI. BSD-2 - [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 21 · 🔀 83 · 📥 6.8K · 📋 88 - 9% open · ⏱️ 21.09.2022): ``` git clone https://github.com/mpi4py/mpi4py ``` - [PyPi](https://pypi.org/project/mpi4py) (📥 250K / month · 📦 620 · ⏱️ 25.11.2021): ``` pip install mpi4py ``` - [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 1.4M · ⏱️ 12.08.2022): ``` conda install -c conda-forge mpi4py ```
TensorFlowOnSpark (🥉27 · ⭐ 3.8K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (👨‍💻 34 · 🔀 960 · 📋 360 - 2% open · ⏱️ 21.04.2022): ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` - [PyPi](https://pypi.org/project/tensorflowonspark) (📥 190K / month · 📦 5 · ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` - [Conda](https://anaconda.org/conda-forge/tensorflowonspark) (📥 14K · ⏱️ 21.08.2022): ``` conda install -c conda-forge tensorflowonspark ```
dask-ml (🥉27 · ⭐ 820) - Scalable Machine Learning with Dask. BSD-3 - [GitHub](https://github.com/dask/dask-ml) (👨‍💻 76 · 🔀 230 · 📦 670 · 📋 490 - 50% open · ⏱️ 19.06.2022): ``` git clone https://github.com/dask/dask-ml ``` - [PyPi](https://pypi.org/project/dask-ml) (📥 49K / month · 📦 57 · ⏱️ 27.05.2022): ``` pip install dask-ml ``` - [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 520K · ⏱️ 27.05.2022): ``` conda install -c conda-forge dask-ml ```
Mesh (🥉26 · ⭐ 1.3K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - [GitHub](https://github.com/tensorflow/mesh) (👨‍💻 48 · 🔀 220 · 📦 720 · 📋 110 - 87% open · ⏱️ 04.10.2022): ``` git clone https://github.com/tensorflow/mesh ``` - [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 27K / month · 📦 32 · ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
Hivemind (🥉25 · ⭐ 1.1K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT - [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 23 · 🔀 68 · 📦 15 · 📋 130 - 31% open · ⏱️ 01.10.2022): ``` git clone https://github.com/learning-at-home/hivemind ``` - [PyPi](https://pypi.org/project/hivemind) (📥 5.9K / month · 📦 2 · ⏱️ 20.06.2022): ``` pip install hivemind ```
analytics-zoo (🥉24 · ⭐ 2.5K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 - [GitHub](https://github.com/intel-analytics/analytics-zoo) (👨‍💻 110 · 🔀 720 · 📦 3 · 📋 1.4K - 39% open · ⏱️ 01.06.2022): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` - [PyPi](https://pypi.org/project/analytics-zoo) (📥 570 / month · 📦 1 · ⏱️ 07.07.2022): ``` pip install analytics-zoo ```
MMLSpark (🥉23 · ⭐ 3.8K) - Simple and Distributed Machine Learning. MIT - [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 99 · 🔀 710 · 📋 610 - 41% open · ⏱️ 29.09.2022): ``` git clone https://github.com/microsoft/SynapseML ``` - [PyPi](https://pypi.org/project/mmlspark) (📥 1 / month · ⏱️ 18.03.2020): ``` pip install mmlspark ```
Submit it (🥉23 · ⭐ 710) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT - [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 23 · 🔀 76 · 📋 76 - 36% open · ⏱️ 28.09.2022): ``` git clone https://github.com/facebookincubator/submitit ``` - [PyPi](https://pypi.org/project/submitit) (📥 54K / month · 📦 6 · ⏱️ 07.04.2022): ``` pip install submitit ``` - [Conda](https://anaconda.org/conda-forge/submitit) (📥 9.7K · ⏱️ 10.02.2021): ``` conda install -c conda-forge submitit ```
Apache Singa (🥉21 · ⭐ 2.7K) - a distributed deep learning platform. Apache-2 - [GitHub](https://github.com/apache/singa) (👨‍💻 79 · 🔀 780 · 📦 1 · 📋 100 - 38% open · ⏱️ 01.06.2022): ``` git clone https://github.com/apache/singa ``` - [Conda](https://anaconda.org/nusdbsystem/singa) (📥 530 · ⏱️ 09.08.2021): ``` conda install -c nusdbsystem singa ``` - [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 1.4K · ⭐ 4 · ⏱️ 31.05.2022): ``` docker pull apache/singa ```
BytePS (🥉20 · ⭐ 3.3K · 💤) - A high performance and generic framework for distributed DNN.. Apache-2 - [GitHub](https://github.com/bytedance/byteps) (👨‍💻 19 · 🔀 460 · 📋 260 - 38% open · ⏱️ 10.02.2022): ``` git clone https://github.com/bytedance/byteps ``` - [PyPi](https://pypi.org/project/byteps) (📥 69 / month · ⏱️ 02.08.2021): ``` pip install byteps ``` - [Docker Hub](https://hub.docker.com/r/bytepsimage/tensorflow) (📥 1.3K · ⏱️ 03.03.2020): ``` docker pull bytepsimage/tensorflow ```
parallelformers (🥉18 · ⭐ 520) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - [GitHub](https://github.com/tunib-ai/parallelformers) (👨‍💻 5 · 🔀 35 · 📦 10 · 📋 30 - 43% open · ⏱️ 27.07.2022): ``` git clone https://github.com/tunib-ai/parallelformers ``` - [PyPi](https://pypi.org/project/parallelformers) (📥 330 / month · ⏱️ 29.12.2021): ``` pip install parallelformers ```
mesh-transformer-jax (🥉16 · ⭐ 4.5K · 💤) - Model parallel transformers in JAX and Haiku. Apache-2 - [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (👨‍💻 23 · 🔀 620 · 📋 180 - 15% open · ⏱️ 28.01.2022): ``` git clone https://github.com/kingoflolz/mesh-transformer-jax ```
moolib (🥉12 · ⭐ 340) - A library for distributed ML training with PyTorch. MIT - [GitHub](https://github.com/facebookresearch/moolib) (👨‍💻 4 · 🔀 16 · 📦 3 · 📋 16 - 31% open · ⏱️ 21.09.2022): ``` git clone https://github.com/facebookresearch/moolib ```
Show 10 hidden projects... - DEAP (🥈33 · ⭐ 4.8K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (🥈30 · ⭐ 2.3K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - launchpad (🥉21 · ⭐ 280) - Launchpad is a library that simplifies writing distributed.. Apache-2 - TensorFrames (🥉20 · ⭐ 760 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - sk-dist (🥉20 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - Fiber (🥉19 · ⭐ 990 · 💀) - Distributed Computing for AI Made Simple. Apache-2 - somoclu (🥉19 · ⭐ 240) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT - bluefog (🥉16 · ⭐ 270) - Distributed and decentralized training framework for PyTorch.. Apache-2 - LazyCluster (🥉13 · ⭐ 44 · 💀) - Distributed machine learning made simple. Apache-2 - autodist (🥉11 · ⭐ 120 · 💀) - Simple Distributed Deep Learning on TensorFlow. Apache-2

## Hyperparameter Optimization & AutoML Back to top _Libraries for hyperparameter optimization, automl and neural architecture search._
Optuna (🥇40 · ⭐ 7K) - A hyperparameter optimization framework. MIT - [GitHub](https://github.com/optuna/optuna) (👨‍💻 200 · 🔀 750 · 📦 4.3K · 📋 1.3K - 7% open · ⏱️ 06.10.2022): ``` git clone https://github.com/optuna/optuna ``` - [PyPi](https://pypi.org/project/optuna) (📥 1.8M / month · 📦 240 · ⏱️ 13.06.2022): ``` pip install optuna ``` - [Conda](https://anaconda.org/conda-forge/optuna) (📥 330K · ⏱️ 16.09.2022): ``` conda install -c conda-forge optuna ```
NNI (🥇36 · ⭐ 12K · 📈) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - [GitHub](https://github.com/microsoft/nni) (👨‍💻 180 · 🔀 1.7K · 📦 280 · 📋 1.7K - 13% open · ⏱️ 19.09.2022): ``` git clone https://github.com/microsoft/nni ``` - [PyPi](https://pypi.org/project/nni) (📥 30K / month · 📦 30 · ⏱️ 22.06.2022): ``` pip install nni ```
AutoKeras (🥇34 · ⭐ 8.6K) - AutoML library for deep learning. Apache-2 - [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 140 · 🔀 1.4K · 📥 8.8K · 📦 370 · 📋 850 - 11% open · ⏱️ 14.09.2022): ``` git clone https://github.com/keras-team/autokeras ``` - [PyPi](https://pypi.org/project/autokeras) (📥 38K / month · 📦 10 · ⏱️ 30.04.2022): ``` pip install autokeras ```
auto-sklearn (🥇34 · ⭐ 6.5K) - Automated Machine Learning with scikit-learn. BSD-3 - [GitHub](https://github.com/automl/auto-sklearn) (👨‍💻 86 · 🔀 1.2K · 📥 39 · 📦 330 · 📋 930 - 13% open · ⏱️ 20.09.2022): ``` git clone https://github.com/automl/auto-sklearn ``` - [PyPi](https://pypi.org/project/auto-sklearn) (📥 34K / month · 📦 30 · ⏱️ 20.09.2022): ``` pip install auto-sklearn ``` - [Conda](https://anaconda.org/conda-forge/auto-sklearn) (📥 10K · ⏱️ 21.09.2022): ``` conda install -c conda-forge auto-sklearn ```
featuretools (🥇33 · ⭐ 6.4K) - An open source python library for automated feature engineering. BSD-3 - [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 68 · 🔀 830 · 📋 870 - 19% open · ⏱️ 05.10.2022): ``` git clone https://github.com/alteryx/featuretools ``` - [PyPi](https://pypi.org/project/featuretools) (📥 130K / month · 📦 64 · ⏱️ 05.07.2022): ``` pip install featuretools ``` - [Conda](https://anaconda.org/conda-forge/featuretools) (📥 110K · ⏱️ 01.09.2022): ``` conda install -c conda-forge featuretools ```
Keras Tuner (🥇33 · ⭐ 2.6K) - Hyperparameter tuning for Keras and more. Apache-2 - [GitHub](https://github.com/keras-team/keras-tuner) (👨‍💻 50 · 🔀 340 · 📦 1.7K · 📋 410 - 43% open · ⏱️ 20.09.2022): ``` git clone https://github.com/keras-team/keras-tuner ``` - [PyPi](https://pypi.org/project/keras-tuner) (📥 600K / month · 📦 46 · ⏱️ 25.03.2022): ``` pip install keras-tuner ``` - [Conda](https://anaconda.org/conda-forge/keras-tuner) (📥 9.7K · ⏱️ 12.01.2022): ``` conda install -c conda-forge keras-tuner ```
BoTorch (🥇33 · ⭐ 2.4K) - Bayesian optimization in PyTorch. MIT - [GitHub](https://github.com/pytorch/botorch) (👨‍💻 83 · 🔀 280 · 📦 330 · 📋 320 - 20% open · ⏱️ 28.09.2022): ``` git clone https://github.com/pytorch/botorch ``` - [PyPi](https://pypi.org/project/botorch) (📥 190K / month · 📦 18 · ⏱️ 21.04.2022): ``` pip install botorch ``` - [Conda](https://anaconda.org/conda-forge/botorch) (📥 42K · ⏱️ 02.10.2022): ``` conda install -c conda-forge botorch ```
Ax (🥇33 · ⭐ 1.9K) - Adaptive Experimentation Platform. MIT - [GitHub](https://github.com/facebook/Ax) (👨‍💻 130 · 🔀 220 · 📦 340 · 📋 450 - 7% open · ⏱️ 05.10.2022): ``` git clone https://github.com/facebook/Ax ``` - [PyPi](https://pypi.org/project/ax-platform) (📥 120K / month · 📦 15 · ⏱️ 26.04.2022): ``` pip install ax-platform ``` - [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 3.7K · ⏱️ 16.09.2022): ``` conda install -c conda-forge ax-platform ```
Hyperopt (🥈32 · ⭐ 6.4K · 💤) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 - [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 93 · 🔀 1K · 📦 7.7K · 📋 620 - 62% open · ⏱️ 29.11.2021): ``` git clone https://github.com/hyperopt/hyperopt ``` - [PyPi](https://pypi.org/project/hyperopt) (📥 1.7M / month · 📦 430 · ⏱️ 17.11.2021): ``` pip install hyperopt ``` - [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 550K · ⏱️ 30.04.2022): ``` conda install -c conda-forge hyperopt ```
Bayesian Optimization (🥈32 · ⭐ 6.3K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/fmfn/BayesianOptimization) (👨‍💻 36 · 🔀 1.4K · 📥 100 · 📦 1.4K · 📋 270 - 7% open · ⏱️ 30.08.2022): ``` git clone https://github.com/fmfn/BayesianOptimization ``` - [PyPi](https://pypi.org/project/bayesian-optimization) (📥 180K / month · 📦 91 · ⏱️ 16.05.2020): ``` pip install bayesian-optimization ```
scikit-optimize (🥈32 · ⭐ 2.4K · 💤) - Sequential model-based optimization with a.. BSD-3 - [GitHub](https://github.com/scikit-optimize/scikit-optimize) (👨‍💻 76 · 🔀 450 · 📦 3.2K · 📋 650 - 40% open · ⏱️ 12.10.2021): ``` git clone https://github.com/scikit-optimize/scikit-optimize ``` - [PyPi](https://pypi.org/project/scikit-optimize) (📥 720K / month · 📦 210 · ⏱️ 12.10.2021): ``` pip install scikit-optimize ``` - [Conda](https://anaconda.org/conda-forge/scikit-optimize) (📥 580K · ⏱️ 15.12.2021): ``` conda install -c conda-forge scikit-optimize ```
AutoGluon (🥈31 · ⭐ 4.9K) - AutoGluon: AutoML for Image, Text, and Tabular Data. Apache-2 - [GitHub](https://github.com/awslabs/autogluon) (👨‍💻 90 · 🔀 640 · 📦 170 · 📋 770 - 23% open · ⏱️ 06.10.2022): ``` git clone https://github.com/awslabs/autogluon ``` - [PyPi](https://pypi.org/project/autogluon) (📥 37K / month · 📦 5 · ⏱️ 07.07.2022): ``` pip install autogluon ```
nevergrad (🥈27 · ⭐ 3.4K) - A Python toolbox for performing gradient-free optimization. MIT - [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 49 · 🔀 320 · 📦 380 · 📋 260 - 39% open · ⏱️ 10.08.2022): ``` git clone https://github.com/facebookresearch/nevergrad ``` - [PyPi](https://pypi.org/project/nevergrad) (📥 32K / month · 📦 20 · ⏱️ 08.03.2022): ``` pip install nevergrad ``` - [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 32K · ⏱️ 14.06.2021): ``` conda install -c conda-forge nevergrad ```
Hyperas (🥈27 · ⭐ 2.1K · 💤) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - [GitHub](https://github.com/maxpumperla/hyperas) (👨‍💻 21 · 🔀 310 · 📦 250 · 📋 250 - 37% open · ⏱️ 19.11.2021): ``` git clone https://github.com/maxpumperla/hyperas ``` - [PyPi](https://pypi.org/project/hyperas) (📥 14K / month · 📦 24 · ⏱️ 28.02.2019): ``` pip install hyperas ```
mljar-supervised (🥈26 · ⭐ 2.3K) - Python package for AutoML on Tabular Data with Feature.. MIT - [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 19 · 🔀 300 · 📦 52 · 📋 500 - 20% open · ⏱️ 16.08.2022): ``` git clone https://github.com/mljar/mljar-supervised ``` - [PyPi](https://pypi.org/project/mljar-supervised) (📥 6.6K / month · 📦 2 · ⏱️ 02.03.2022): ``` pip install mljar-supervised ``` - [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 4.6K · ⏱️ 17.08.2022): ``` conda install -c conda-forge mljar-supervised ```
Talos (🥈25 · ⭐ 1.6K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT - [GitHub](https://github.com/autonomio/talos) (👨‍💻 22 · 🔀 260 · 📦 150 · 📋 400 - 2% open · ⏱️ 18.09.2022): ``` git clone https://github.com/autonomio/talos ``` - [PyPi](https://pypi.org/project/talos) (📥 2.2K / month · 📦 7 · ⏱️ 28.05.2022): ``` pip install talos ```
Neuraxle (🥈24 · ⭐ 540) - The worlds cleanest AutoML library - Do hyperparameter tuning with.. Apache-2 - [GitHub](https://github.com/Neuraxio/Neuraxle) (👨‍💻 7 · 🔀 53 · 📦 34 · 📋 320 - 19% open · ⏱️ 16.08.2022): ``` git clone https://github.com/Neuraxio/Neuraxle ``` - [PyPi](https://pypi.org/project/neuraxle) (📥 490 / month · 📦 1 · ⏱️ 15.04.2022): ``` pip install neuraxle ```
lazypredict (🥈24 · ⭐ 430) - Lazy Predict help build a lot of basic models without much code.. MIT - [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 18 · 🔀 74 · 📦 340 · 📋 71 - 50% open · ⏱️ 28.09.2022): ``` git clone https://github.com/shankarpandala/lazypredict ``` - [PyPi](https://pypi.org/project/lazypredict) (📥 6.3K / month · ⏱️ 17.02.2021): ``` pip install lazypredict ``` - [Conda](https://anaconda.org/conda-forge/lazypredict) (📥 900 · ⏱️ 29.09.2022): ``` conda install -c conda-forge lazypredict ```
FEDOT (🥉23 · ⭐ 450) - Automated modeling and machine learning framework FEDOT. BSD-3 - [GitHub](https://github.com/nccr-itmo/FEDOT) (👨‍💻 25 · 🔀 56 · 📦 24 · 📋 400 - 27% open · ⏱️ 05.10.2022): ``` git clone https://github.com/nccr-itmo/FEDOT ``` - [PyPi](https://pypi.org/project/fedot) (📥 490 / month · ⏱️ 28.03.2022): ``` pip install fedot ```
HpBandSter (🥉22 · ⭐ 550) - a distributed Hyperband implementation on Steroids. BSD-3 - [GitHub](https://github.com/automl/HpBandSter) (👨‍💻 11 · 🔀 110 · 📦 250 · 📋 92 - 61% open · ⏱️ 22.04.2022): ``` git clone https://github.com/automl/HpBandSter ``` - [PyPi](https://pypi.org/project/hpbandster) (📥 16K / month · 📦 10 · ⏱️ 06.11.2018): ``` pip install hpbandster ``` - [Conda](https://anaconda.org/conda-forge/hpbandster) (📥 3.3K · ⏱️ 11.12.2020): ``` conda install -c conda-forge hpbandster ```
Dragonfly (🥉21 · ⭐ 700 · 📈) - An open source python library for scalable Bayesian optimisation. MIT - [GitHub](https://github.com/dragonfly/dragonfly) (👨‍💻 13 · 🔀 210 · 📋 58 - 65% open · ⏱️ 01.10.2022): ``` git clone https://github.com/dragonfly/dragonfly ``` - [PyPi](https://pypi.org/project/dragonfly-opt) (📥 39K / month · 📦 2 · ⏱️ 03.07.2020): ``` pip install dragonfly-opt ```
Hyperactive (🥉21 · ⭐ 410) - An optimization and data collection toolbox for convenient and fast.. MIT - [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨‍💻 5 · 🔀 35 · 📥 100 · 📦 16 · 📋 48 - 12% open · ⏱️ 18.09.2022): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` - [PyPi](https://pypi.org/project/hyperactive) (📥 660 / month · 📦 4 · ⏱️ 04.05.2022): ``` pip install hyperactive ```
Auto ViML (🥉19 · ⭐ 370) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 - [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 6 · 🔀 81 · 📦 18 · 📋 22 - 22% open · ⏱️ 16.08.2022): ``` git clone https://github.com/AutoViML/Auto_ViML ``` - [PyPi](https://pypi.org/project/autoviml) (📥 860 / month · 📦 2 · ⏱️ 01.06.2022): ``` pip install autoviml ```
igel (🥉18 · ⭐ 3K · 💤) - a delightful machine learning tool that allows you to train, test, and use.. MIT - [GitHub](https://github.com/nidhaloff/igel) (👨‍💻 19 · 🔀 160 · 📥 33 · 📋 50 - 12% open · ⏱️ 06.02.2022): ``` git clone https://github.com/nidhaloff/igel ``` - [PyPi](https://pypi.org/project/igel) (📥 89 / month · ⏱️ 19.11.2021): ``` pip install igel ```
AlphaPy (🥉18 · ⭐ 810) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 - [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 3 · 🔀 160 · 📦 3 · 📋 41 - 29% open · ⏱️ 23.04.2022): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` - [PyPi](https://pypi.org/project/alphapy) (📥 110 / month · ⏱️ 29.08.2020): ``` pip install alphapy ```
opytimizer (🥉18 · ⭐ 530) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 - [GitHub](https://github.com/gugarosa/opytimizer) (👨‍💻 4 · 🔀 32 · 📦 7 · ⏱️ 06.10.2022): ``` git clone https://github.com/gugarosa/opytimizer ``` - [PyPi](https://pypi.org/project/opytimizer) (📥 770 / month · ⏱️ 04.05.2022): ``` pip install opytimizer ```
shap-hypetune (🥉16 · ⭐ 390) - A python package for simultaneous Hyperparameters Tuning and.. MIT - [GitHub](https://github.com/cerlymarco/shap-hypetune) (👨‍💻 2 · 🔀 50 · 📦 7 · 📋 16 - 6% open · ⏱️ 24.08.2022): ``` git clone https://github.com/cerlymarco/shap-hypetune ``` - [PyPi](https://pypi.org/project/shap-hypetune) (📥 3.4K / month · 📦 1 · ⏱️ 16.01.2022): ``` pip install shap-hypetune ```
model_search (🥉11 · ⭐ 3.2K · 💤) - AutoML algorithms for model architecture search at scale. Apache-2 - [GitHub](https://github.com/google/model_search) (👨‍💻 1 · 🔀 360 · 📋 51 - 70% open · ⏱️ 09.02.2022): ``` git clone https://github.com/google/model_search ```
Show 24 hidden projects... - TPOT (🥈31 · ⭐ 8.8K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - Orion (🥈27 · ⭐ 240) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - GPyOpt (🥈26 · ⭐ 830 · 💀) - Gaussian Process Optimization using GPy. BSD-3 - SMAC3 (🥈25 · ⭐ 740) - Sequential Model-based Algorithm Configuration. ❗️BSD-1-Clause - AdaNet (🥈24 · ⭐ 3.4K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (🥉23 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - MLBox (🥉23 · ⭐ 1.4K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - featurewiz (🥉23 · ⭐ 290) - Use advanced feature engineering strategies and select best.. Apache-2 - Test Tube (🥉22 · ⭐ 720 · 💀) - Python library to easily log experiments and parallelize.. MIT - optunity (🥉22 · ⭐ 400 · 💀) - optimization routines for hyperparameter tuning. BSD-3 - lightwood (🥉22 · ⭐ 280) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - sklearn-deap (🥉20 · ⭐ 700 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - Auto Tune Models (🥉18 · ⭐ 520 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (🥉18 · ⭐ 310 · 💀) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (🥉17 · ⭐ 1.5K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - Xcessiv (🥉17 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2 - Parfit (🥉17 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of.. MIT - HyperparameterHunter (🥉16 · ⭐ 690 · 💀) - Easy hyperparameter optimization and automatic result.. MIT - automl-gs (🥉15 · ⭐ 1.8K · 💀) - Provide an input CSV and a target field to predict, generate a.. MIT - ENAS (🥉13 · ⭐ 2.6K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (🥉13 · ⭐ 190 · 💀) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (🥉12 · ⭐ 100 · 💀) - Better, faster hyper-parameter optimization. BSD-3 - Devol (🥉11 · ⭐ 940 · 💀) - Genetic neural architecture search with Keras. MIT - Hypertunity (🥉9 · ⭐ 120 · 💀) - A toolset for black-box hyperparameter optimisation. Apache-2

## Reinforcement Learning Back to top _Libraries for building and evaluating reinforcement learning & agent-based systems._
OpenAI Gym (🥇42 · ⭐ 29K) - A toolkit for developing and comparing reinforcement learning.. MIT - [GitHub](https://github.com/openai/gym) (👨‍💻 380 · 🔀 8K · 📦 33K · 📋 1.7K - 1% open · ⏱️ 04.10.2022): ``` git clone https://github.com/openai/gym ``` - [PyPi](https://pypi.org/project/gym) (📥 1.1M / month · 📦 2.5K · ⏱️ 07.06.2022): ``` pip install gym ``` - [Conda](https://anaconda.org/conda-forge/gym) (📥 150K · ⏱️ 10.07.2022): ``` conda install -c conda-forge gym ```
TF-Agents (🥇35 · ⭐ 2.4K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 - [GitHub](https://github.com/tensorflow/agents) (👨‍💻 130 · 🔀 650 · 📦 920 · 📋 580 - 24% open · ⏱️ 04.10.2022): ``` git clone https://github.com/tensorflow/agents ``` - [PyPi](https://pypi.org/project/tf-agents) (📥 510K / month · 📦 14 · ⏱️ 04.06.2022): ``` pip install tf-agents ```
Dopamine (🥇30 · ⭐ 9.9K) - Dopamine is a research framework for fast prototyping of.. Apache-2 - [GitHub](https://github.com/google/dopamine) (👨‍💻 15 · 🔀 1.3K · 📋 170 - 50% open · ⏱️ 20.09.2022): ``` git clone https://github.com/google/dopamine ``` - [PyPi](https://pypi.org/project/dopamine-rl) (📥 76K / month · 📦 37 · ⏱️ 20.05.2022): ``` pip install dopamine-rl ```
FinRL (🥇30 · ⭐ 6.1K) - FinRL: Financial Reinforcement Learning. MIT - [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 77 · 🔀 1.4K · 📦 17 · 📋 450 - 14% open · ⏱️ 02.10.2022): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` - [PyPi](https://pypi.org/project/finrl) (📥 430 / month · ⏱️ 08.01.2022): ``` pip install finrl ```
Acme (🥈29 · ⭐ 2.9K) - A library of reinforcement learning components and agents. Apache-2 - [GitHub](https://github.com/deepmind/acme) (👨‍💻 79 · 🔀 360 · 📦 100 · 📋 230 - 16% open · ⏱️ 06.10.2022): ``` git clone https://github.com/deepmind/acme ``` - [PyPi](https://pypi.org/project/dm-acme) (📥 4.9K / month · 📦 2 · ⏱️ 10.02.2022): ``` pip install dm-acme ``` - [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 4.3K · ⏱️ 09.12.2021): ``` conda install -c conda-forge dm-acme ```
ViZDoom (🥈28 · ⭐ 1.4K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT - [GitHub](https://github.com/mwydmuch/ViZDoom) (👨‍💻 50 · 🔀 340 · 📥 12K · 📦 150 · 📋 440 - 20% open · ⏱️ 19.09.2022): ``` git clone https://github.com/mwydmuch/ViZDoom ``` - [PyPi](https://pypi.org/project/vizdoom) (📥 1K / month · 📦 14 · ⏱️ 18.04.2022): ``` pip install vizdoom ```
TensorLayer (🥈27 · ⭐ 7.1K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - [GitHub](https://github.com/tensorlayer/TensorLayer) (👨‍💻 130 · 🔀 1.6K · 📥 1.4K · 📋 470 - 6% open · ⏱️ 23.04.2022): ``` git clone https://github.com/tensorlayer/tensorlayer ``` - [PyPi](https://pypi.org/project/tensorlayer) (📥 2.7K / month · 📦 40 · ⏱️ 15.02.2022): ``` pip install tensorlayer ```
PARL (🥈27 · ⭐ 2.8K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 33 · 🔀 740 · 📦 95 · 📋 420 - 16% open · ⏱️ 26.08.2022): ``` git clone https://github.com/PaddlePaddle/PARL ``` - [PyPi](https://pypi.org/project/parl) (📥 710 / month · 📦 1 · ⏱️ 13.05.2022): ``` pip install parl ```
garage (🥉26 · ⭐ 1.5K) - A toolkit for reproducible reinforcement learning research. MIT - [GitHub](https://github.com/rlworkgroup/garage) (👨‍💻 78 · 🔀 260 · 📦 54 · 📋 1K - 20% open · ⏱️ 20.05.2022): ``` git clone https://github.com/rlworkgroup/garage ``` - [PyPi](https://pypi.org/project/garage) (📥 480 / month · 📦 2 · ⏱️ 23.03.2021): ``` pip install garage ```
Stable Baselines (🥉24 · ⭐ 3.6K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT - [GitHub](https://github.com/hill-a/stable-baselines) (👨‍💻 110 · 🔀 690 · 📋 930 - 11% open · ⏱️ 04.09.2022): ``` git clone https://github.com/hill-a/stable-baselines ``` - [PyPi](https://pypi.org/project/stable-baselines) (📥 6.8K / month · 📦 34 · ⏱️ 06.04.2021): ``` pip install stable-baselines ```
TensorForce (🥉23 · ⭐ 3.2K · 💤) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 82 · 🔀 520 · 📋 650 - 3% open · ⏱️ 10.02.2022): ``` git clone https://github.com/tensorforce/tensorforce ``` - [PyPi](https://pypi.org/project/tensorforce) (📥 1.1K / month · ⏱️ 30.08.2021): ``` pip install tensorforce ```
ReAgent (🥉22 · ⭐ 3.3K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 140 · 🔀 470 · 📋 140 - 47% open · ⏱️ 03.10.2022): ``` git clone https://github.com/facebookresearch/ReAgent ``` - [PyPi](https://pypi.org/project/reagent) (📥 24 / month · ⏱️ 27.05.2020): ``` pip install reagent ```
RLax (🥉22 · ⭐ 920) - A library of reinforcement learning building blocks in JAX. Apache-2 - [GitHub](https://github.com/deepmind/rlax) (👨‍💻 20 · 🔀 67 · 📦 80 · 📋 28 - 46% open · ⏱️ 03.10.2022): ``` git clone https://github.com/deepmind/rlax ``` - [PyPi](https://pypi.org/project/rlax) (📥 4.5K / month · 📦 2 · ⏱️ 24.02.2022): ``` pip install rlax ```
PFRL (🥉20 · ⭐ 920) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 17 · 🔀 120 · 📦 58 · 📋 67 - 40% open · ⏱️ 21.09.2022): ``` git clone https://github.com/pfnet/pfrl ``` - [PyPi](https://pypi.org/project/pfrl) (📥 340 / month · 📦 1 · ⏱️ 07.07.2021): ``` pip install pfrl ```
rliable (🥉13 · ⭐ 490) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 - [GitHub](https://github.com/google-research/rliable) (👨‍💻 5 · 🔀 28 · 📦 19 · ⏱️ 14.09.2022): ``` git clone https://github.com/google-research/rliable ``` - [PyPi](https://pypi.org/project/rliable`): ``` pip install rliable` ```
Show 8 hidden projects... - baselines (🥈29 · ⭐ 13K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (🥈28 · ⭐ 5.3K · 💀) - Deep Reinforcement Learning for Keras. MIT - ChainerRL (🥉23 · ⭐ 1.1K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. Apache-2 - Coach (🥉21 · ⭐ 2.2K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - SerpentAI (🥉18 · ⭐ 6.3K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (🥉17 · ⭐ 6.7K) - A customisable 3D platform for agent-based AI research. ❗Unlicensed - Maze (🥉12 · ⭐ 220 · 💤) - Maze Applied Reinforcement Learning Framework. ❗️Custom

## Recommender Systems Back to top _Libraries for building and evaluating recommendation systems._
Recommenders (🥇33 · ⭐ 14K) - Best Practices on Recommendation Systems. MIT - [GitHub](https://github.com/microsoft/recommenders) (👨‍💻 120 · 🔀 2.4K · 📥 250 · 📦 38 · 📋 720 - 20% open · ⏱️ 20.07.2022): ``` git clone https://github.com/microsoft/recommenders ``` - [PyPi](https://pypi.org/project/recommenders) (📥 31K / month · 📦 2 · ⏱️ 01.04.2022): ``` pip install recommenders ```
scikit-surprise (🥇31 · ⭐ 5.5K) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (👨‍💻 43 · 🔀 950 · 📋 370 - 18% open · ⏱️ 23.09.2022): ``` git clone https://github.com/NicolasHug/Surprise ``` - [PyPi](https://pypi.org/project/scikit-surprise) (📥 100K / month · 📦 49 · ⏱️ 19.07.2020): ``` pip install scikit-surprise ``` - [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 260K · ⏱️ 23.09.2022): ``` conda install -c conda-forge scikit-surprise ```
implicit (🥇31 · ⭐ 3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - [GitHub](https://github.com/benfred/implicit) (👨‍💻 32 · 🔀 560 · 📥 160 · 📦 680 · 📋 430 - 16% open · ⏱️ 27.09.2022): ``` git clone https://github.com/benfred/implicit ``` - [PyPi](https://pypi.org/project/implicit) (📥 160K / month · 📦 32 · ⏱️ 29.01.2022): ``` pip install implicit ``` - [Conda](https://anaconda.org/conda-forge/implicit) (📥 400K · ⏱️ 29.01.2022): ``` conda install -c conda-forge implicit ```
TF Recommenders (🥈30 · ⭐ 1.5K) - TensorFlow Recommenders is a library for building.. Apache-2 - [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 38 · 🔀 210 · 📦 150 · 📋 310 - 52% open · ⏱️ 02.10.2022): ``` git clone https://github.com/tensorflow/recommenders ``` - [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 580K / month · 📦 1 · ⏱️ 23.08.2021): ``` pip install tensorflow-recommenders ```
lightfm (🥈28 · ⭐ 4.1K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 - [GitHub](https://github.com/lyst/lightfm) (👨‍💻 44 · 🔀 650 · 📦 820 · 📋 470 - 25% open · ⏱️ 19.07.2022): ``` git clone https://github.com/lyst/lightfm ``` - [PyPi](https://pypi.org/project/lightfm) (📥 310K / month · 📦 45 · ⏱️ 27.11.2020): ``` pip install lightfm ``` - [Conda](https://anaconda.org/conda-forge/lightfm) (📥 130K · ⏱️ 09.03.2022): ``` conda install -c conda-forge lightfm ```
RecBole (🥈28 · ⭐ 2.1K · 📈) - A unified, comprehensive and efficient recommendation library. MIT - [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 51 · 🔀 400 · 📋 500 - 14% open · ⏱️ 06.10.2022): ``` git clone https://github.com/RUCAIBox/RecBole ``` - [PyPi](https://pypi.org/project/recbole) (📥 3.5K / month · 📦 1 · ⏱️ 25.02.2022): ``` pip install recbole ``` - [Conda](https://anaconda.org/aibox/recbole) (📥 2.1K · ⏱️ 05.10.2022): ``` conda install -c aibox recbole ```
TF Ranking (🥈27 · ⭐ 2.5K) - Learning to Rank in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/ranking) (👨‍💻 28 · 🔀 440 · 📋 300 - 21% open · ⏱️ 26.04.2022): ``` git clone https://github.com/tensorflow/ranking ``` - [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 89K / month · 📦 12 · ⏱️ 16.11.2021): ``` pip install tensorflow_ranking ```
torchrec (🥉24 · ⭐ 1.2K) - Pytorch domain library for recommendation systems. BSD-3 - [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 96 · 🔀 160 · 📋 100 - 55% open · ⏱️ 05.10.2022): ``` git clone https://github.com/pytorch/torchrec ``` - [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 930 / month · ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ```
Cornac (🥉23 · ⭐ 640) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 15 · 🔀 110 · 📦 120 · 📋 110 - 14% open · ⏱️ 22.07.2022): ``` git clone https://github.com/PreferredAI/cornac ``` - [PyPi](https://pypi.org/project/cornac) (📥 38K / month · 📦 15 · ⏱️ 19.02.2022): ``` pip install cornac ``` - [Conda](https://anaconda.org/conda-forge/cornac) (📥 250K · ⏱️ 30.08.2022): ``` conda install -c conda-forge cornac ```
recmetrics (🥉18 · ⭐ 430) - A library of metrics for evaluating recommender systems. MIT - [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨‍💻 16 · 🔀 86 · 📦 30 · 📋 21 - 42% open · ⏱️ 17.04.2022): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` - [PyPi](https://pypi.org/project/recmetrics) (📥 4K / month · ⏱️ 26.04.2022): ``` pip install recmetrics ```
Case Recommender (🥉18 · ⭐ 420 · 💤) - Case Recommender: A Flexible and Extensible Python.. MIT - [GitHub](https://github.com/caserec/CaseRecommender) (👨‍💻 11 · 🔀 79 · 📦 10 · 📋 27 - 25% open · ⏱️ 25.11.2021): ``` git clone https://github.com/caserec/CaseRecommender ``` - [PyPi](https://pypi.org/project/caserecommender) (📥 320 / month · ⏱️ 25.11.2021): ``` pip install caserecommender ```
Show 6 hidden projects... - tensorrec (🥉21 · ⭐ 1.2K · 💀) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (🥉21 · ⭐ 1K · 💀) - fastFM: A Library for Factorization Machines. BSD-3 - lkpy (🥉21 · ⭐ 210) - Python recommendation toolkit. MIT - Collie (🥉19 · ⭐ 94) - A library for preparing, training, and evaluating scalable deep.. BSD-3 - Spotlight (🥉18 · ⭐ 2.8K · 💀) - Deep recommender models using PyTorch. MIT - OpenRec (🥉15 · ⭐ 400 · 💀) - OpenRec is an open-source and modular library for neural network-.. Apache-2

## Privacy Machine Learning Back to top _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._
PySyft (🥇36 · ⭐ 8.4K) - Data science on data without acquiring a copy. Apache-2 - [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 450 · 🔀 1.9K · 📋 3.2K - 3% open · ⏱️ 06.10.2022): ``` git clone https://github.com/OpenMined/PySyft ``` - [PyPi](https://pypi.org/project/syft) (📥 5.5K / month · 📦 5 · ⏱️ 29.06.2022): ``` pip install syft ```
Opacus (🥈29 · ⭐ 1.3K) - Training PyTorch models with differential privacy. Apache-2 - [GitHub](https://github.com/pytorch/opacus) (👨‍💻 58 · 🔀 230 · 📥 51 · 📦 140 · 📋 210 - 21% open · ⏱️ 29.09.2022): ``` git clone https://github.com/pytorch/opacus ``` - [PyPi](https://pypi.org/project/opacus) (📥 17K / month · 📦 11 · ⏱️ 06.05.2022): ``` pip install opacus ``` - [Conda](https://anaconda.org/conda-forge/opacus) (📥 4.6K · ⏱️ 09.09.2022): ``` conda install -c conda-forge opacus ```
FATE (🥈27 · ⭐ 4.5K) - An Industrial Grade Federated Learning Framework. Apache-2 - [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 82 · 🔀 1.4K · 📋 1.4K - 37% open · ⏱️ 30.09.2022): ``` git clone https://github.com/FederatedAI/FATE ``` - [PyPi](https://pypi.org/project/ETAF) (📥 3 / month · ⏱️ 06.05.2020): ``` pip install ETAF ```
TensorFlow Privacy (🥉26 · ⭐ 1.7K) - Library for training machine learning models with.. Apache-2 - [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 50 · 🔀 370 · 📥 84 · 📋 170 - 49% open · ⏱️ 03.10.2022): ``` git clone https://github.com/tensorflow/privacy ``` - [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 28K / month · 📦 7 · ⏱️ 22.02.2022): ``` pip install tensorflow-privacy ```
TFEncrypted (🥉24 · ⭐ 1K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 28 · 🔀 190 · 📦 62 · 📋 440 - 38% open · ⏱️ 30.08.2022): ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` - [PyPi](https://pypi.org/project/tf-encrypted) (📥 820 / month · 📦 9 · ⏱️ 07.03.2022): ``` pip install tf-encrypted ```
CrypTen (🥉22 · ⭐ 1.1K) - A framework for Privacy Preserving Machine Learning. MIT - [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 29 · 🔀 180 · 📦 21 · 📋 170 - 14% open · ⏱️ 10.06.2022): ``` git clone https://github.com/facebookresearch/CrypTen ``` - [PyPi](https://pypi.org/project/crypten) (📥 140 / month · ⏱️ 09.09.2021): ``` pip install crypten ```
Show 1 hidden projects... - PipelineDP (🥉22 · ⭐ 230) - PipelineDP is a Python framework for applying differentially.. Apache-2

## Workflow & Experiment Tracking Back to top _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (🥇43 · ⭐ 6K) - TensorFlows Visualization Toolkit. Apache-2 - [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 290 · 🔀 1.5K · 📦 130K · 📋 1.7K - 34% open · ⏱️ 05.10.2022): ``` git clone https://github.com/tensorflow/tensorboard ``` - [PyPi](https://pypi.org/project/tensorboard) (📥 17M / month · 📦 2.4K · ⏱️ 08.06.2022): ``` pip install tensorboard ``` - [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 3.3M · ⏱️ 27.09.2022): ``` conda install -c conda-forge tensorboard ```
mlflow (🥇41 · ⭐ 13K) - Open source platform for the machine learning lifecycle. Apache-2 - [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 490 · 🔀 3K · 📋 2.7K - 36% open · ⏱️ 06.10.2022): ``` git clone https://github.com/mlflow/mlflow ``` - [PyPi](https://pypi.org/project/mlflow) (📥 14M / month · 📦 330 · ⏱️ 29.06.2022): ``` pip install mlflow ``` - [Conda](https://anaconda.org/conda-forge/mlflow) (📥 910K · ⏱️ 20.09.2022): ``` conda install -c conda-forge mlflow ```
DVC (🥇37 · ⭐ 10K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 - [GitHub](https://github.com/iterative/dvc) (👨‍💻 270 · 🔀 980 · 📥 130K · 📋 3.9K - 16% open · ⏱️ 06.10.2022): ``` git clone https://github.com/iterative/dvc ``` - [PyPi](https://pypi.org/project/dvc) (📥 2.2M / month · 📦 47 · ⏱️ 05.07.2022): ``` pip install dvc ``` - [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.2M · ⏱️ 30.09.2022): ``` conda install -c conda-forge dvc ```
PyCaret (🥇37 · ⭐ 6.4K) - An open-source, low-code machine learning library in Python. MIT - [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 100 · 🔀 1.4K · 📥 610 · 📦 2.6K · 📋 1.8K - 16% open · ⏱️ 04.10.2022): ``` git clone https://github.com/pycaret/pycaret ``` - [PyPi](https://pypi.org/project/pycaret) (📥 920K / month · 📦 13 · ⏱️ 06.06.2022): ``` pip install pycaret ``` - [Conda](https://anaconda.org/conda-forge/pycaret) (📥 20K · ⏱️ 18.04.2022): ``` conda install -c conda-forge pycaret ```
wandb client (🥇37 · ⭐ 4.8K) - A tool for visualizing and tracking your machine learning.. MIT - [GitHub](https://github.com/wandb/wandb) (👨‍💻 130 · 🔀 370 · 📦 12K · 📋 2K - 25% open · ⏱️ 05.10.2022): ``` git clone https://github.com/wandb/client ``` - [PyPi](https://pypi.org/project/wandb) (📥 1.8M / month · 📦 270 · ⏱️ 05.07.2022): ``` pip install wandb ``` - [Conda](https://anaconda.org/conda-forge/wandb) (📥 100K · ⏱️ 06.08.2022): ``` conda install -c conda-forge wandb ```
SageMaker SDK (🥇37 · ⭐ 1.7K) - A library for training and deploying machine learning.. Apache-2 - [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 280 · 🔀 860 · 📦 1.7K · 📋 1.1K - 36% open · ⏱️ 05.10.2022): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` - [PyPi](https://pypi.org/project/sagemaker) (📥 7.5M / month · 📦 52 · ⏱️ 05.07.2022): ``` pip install sagemaker ``` - [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 410K · ⏱️ 09.09.2022): ``` conda install -c conda-forge sagemaker-python-sdk ```
AzureML SDK (🥈35 · ⭐ 3.5K) - Python notebooks with ML and deep learning examples with Azure.. MIT - [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 61 · 🔀 2.2K · 📥 480 · 📋 1.4K - 23% open · ⏱️ 05.10.2022): ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` - [PyPi](https://pypi.org/project/azureml-sdk) (📥 2.2M / month · 📦 46 · ⏱️ 27.06.2022): ``` pip install azureml-sdk ```
tensorboardX (🥈34 · ⭐ 7.4K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT - [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 73 · 🔀 870 · 📥 350 · 📦 22K · 📋 440 - 16% open · ⏱️ 04.09.2022): ``` git clone https://github.com/lanpa/tensorboardX ``` - [PyPi](https://pypi.org/project/tensorboardX) (📥 1.1M / month · 📦 890 · ⏱️ 05.06.2022): ``` pip install tensorboardX ``` - [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 830K · ⏱️ 07.06.2022): ``` conda install -c conda-forge tensorboardx ```
snakemake (🥈34 · ⭐ 1.5K) - This is the development home of the workflow management system.. MIT - [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 270 · 🔀 380 · 📦 1.2K · 📋 1.1K - 60% open · ⏱️ 04.10.2022): ``` git clone https://github.com/snakemake/snakemake ``` - [PyPi](https://pypi.org/project/snakemake) (📥 57K / month · 📦 210 · ⏱️ 30.06.2022): ``` pip install snakemake ``` - [Conda](https://anaconda.org/bioconda/snakemake) (📥 540K · ⏱️ 05.10.2022): ``` conda install -c bioconda snakemake ```
ClearML (🥈33 · ⭐ 3.6K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 - [GitHub](https://github.com/allegroai/clearml) (👨‍💻 53 · 🔀 490 · 📥 530 · 📦 320 · 📋 640 - 44% open · ⏱️ 03.10.2022): ``` git clone https://github.com/allegroai/clearml ``` - [PyPi](https://pypi.org/project/clearml) (📥 77K / month · 📦 8 · ⏱️ 04.07.2022): ``` pip install clearml ``` - [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 30K · ⏱️ 05.10.2020): ``` docker pull allegroai/trains ```
VisualDL (🥈32 · ⭐ 4.4K) - Deep Learning Visualization Toolkit. Apache-2 - [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 32 · 🔀 600 · 📥 230 · 📦 1.4K · 📋 440 - 23% open · ⏱️ 14.09.2022): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` - [PyPi](https://pypi.org/project/visualdl) (📥 58K / month · 📦 25 · ⏱️ 01.07.2022): ``` pip install visualdl ```
Metaflow (🥈31 · ⭐ 6K) - Build and manage real-life data science projects with ease!. Apache-2 - [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 55 · 🔀 540 · 📦 320 · 📋 470 - 49% open · ⏱️ 01.10.2022): ``` git clone https://github.com/Netflix/metaflow ``` - [PyPi](https://pypi.org/project/metaflow) (📥 56K / month · 📦 9 · ⏱️ 17.06.2022): ``` pip install metaflow ``` - [Conda](https://anaconda.org/conda-forge/metaflow) (📥 74K · ⏱️ 17.09.2022): ``` conda install -c conda-forge metaflow ```
aim (🥈31 · ⭐ 2.8K) - Aim easy-to-use and performant open-source ML experiment tracker. Apache-2 - [GitHub](https://github.com/aimhubio/aim) (👨‍💻 44 · 🔀 170 · 📦 110 · 📋 690 - 25% open · ⏱️ 06.10.2022): ``` git clone https://github.com/aimhubio/aim ``` - [PyPi](https://pypi.org/project/aim) (📥 30K / month · 📦 5 · ⏱️ 07.07.2022): ``` pip install aim ``` - [Conda](https://anaconda.org/conda-forge/aim) (📥 17K · ⏱️ 15.10.2021): ``` conda install -c conda-forge aim ```
sacred (🥈30 · ⭐ 3.9K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT - [GitHub](https://github.com/IDSIA/sacred) (👨‍💻 100 · 🔀 350 · 📦 1.6K · 📋 540 - 16% open · ⏱️ 09.09.2022): ``` git clone https://github.com/IDSIA/sacred ``` - [PyPi](https://pypi.org/project/sacred) (📥 44K / month · 📦 100 · ⏱️ 14.12.2020): ``` pip install sacred ``` - [Conda](https://anaconda.org/conda-forge/sacred) (📥 1.5K · ⏱️ 14.11.2021): ``` conda install -c conda-forge sacred ```
Neptune.ai (🥈30 · ⭐ 330) - Experiment tracking tool and model registry. Apache-2 - [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 33 · 🔀 30 · 📦 770 · 📋 180 - 15% open · ⏱️ 06.10.2022): ``` git clone https://github.com/neptune-ai/neptune-client ``` - [PyPi](https://pypi.org/project/neptune-client) (📥 520K / month · 📦 28 · ⏱️ 01.07.2022): ``` pip install neptune-client ``` - [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 110K · ⏱️ 27.09.2022): ``` conda install -c conda-forge neptune-client ```
Catalyst (🥈28 · ⭐ 3K) - Accelerated deep learning R&D. Apache-2 - [GitHub](https://github.com/catalyst-team/catalyst) (👨‍💻 100 · 🔀 360 · 📦 630 · 📋 340 - 1% open · ⏱️ 29.04.2022): ``` git clone https://github.com/catalyst-team/catalyst ``` - [PyPi](https://pypi.org/project/catalyst) (📥 35K / month · 📦 29 · ⏱️ 29.04.2022): ``` pip install catalyst ```
Guild AI (🥈28 · ⭐ 740) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (👨‍💻 23 · 🔀 67 · 📥 7 · 📦 59 · 📋 380 - 45% open · ⏱️ 05.10.2022): ``` git clone https://github.com/guildai/guildai ``` - [PyPi](https://pypi.org/project/guildai) (📥 2.5K / month · ⏱️ 11.05.2022): ``` pip install guildai ```
ml-metadata (🥈28 · ⭐ 500) - For recording and retrieving metadata associated with ML.. Apache-2 - [GitHub](https://github.com/google/ml-metadata) (👨‍💻 15 · 🔀 100 · 📥 1.7K · 📦 250 · 📋 96 - 28% open · ⏱️ 03.10.2022): ``` git clone https://github.com/google/ml-metadata ``` - [PyPi](https://pypi.org/project/ml-metadata) (📥 490K / month · 📦 19 · ⏱️ 21.06.2022): ``` pip install ml-metadata ```
TNT (🥉27 · ⭐ 1.4K) - A lightweight library for PyTorch training tools and utilities. BSD-3 - [GitHub](https://github.com/pytorch/tnt) (👨‍💻 62 · 🔀 210 · 📋 65 - 9% open · ⏱️ 06.10.2022): ``` git clone https://github.com/pytorch/tnt ``` - [PyPi](https://pypi.org/project/torchnet) (📥 10K / month · 📦 37 · ⏱️ 29.07.2018): ``` pip install torchnet ```
livelossplot (🥉26 · ⭐ 1.2K · 📉) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - [GitHub](https://github.com/stared/livelossplot) (👨‍💻 17 · 🔀 140 · 📦 860 · 📋 76 - 7% open · ⏱️ 04.04.2022): ``` git clone https://github.com/stared/livelossplot ``` - [PyPi](https://pypi.org/project/livelossplot) (📥 69K / month · 📦 11 · ⏱️ 04.04.2022): ``` pip install livelossplot ```
Labml (🥉25 · ⭐ 1.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT - [GitHub](https://github.com/labmlai/labml) (👨‍💻 7 · 🔀 84 · 📦 54 · 📋 30 - 46% open · ⏱️ 15.09.2022): ``` git clone https://github.com/labmlai/labml ``` - [PyPi](https://pypi.org/project/labml) (📥 2K / month · 📦 6 · ⏱️ 05.07.2022): ``` pip install labml ```
lore (🥉21 · ⭐ 1.5K) - Lore makes machine learning approachable for Software Engineers and.. MIT - [GitHub](https://github.com/instacart/lore) (👨‍💻 27 · 🔀 130 · 📦 20 · 📋 45 - 57% open · ⏱️ 27.09.2022): ``` git clone https://github.com/instacart/lore ``` - [PyPi](https://pypi.org/project/lore) (📥 1.9K / month · 📦 1 · ⏱️ 02.02.2022): ``` pip install lore ```
keepsake (🥉18 · ⭐ 1.6K) - Version control for machine learning. Apache-2 - [GitHub](https://github.com/replicate/keepsake) (👨‍💻 17 · 🔀 64 · 📋 190 - 65% open · ⏱️ 24.05.2022): ``` git clone https://github.com/replicate/keepsake ``` - [PyPi](https://pypi.org/project/keepsake) (📥 190 / month · ⏱️ 11.03.2021): ``` pip install keepsake ```
Show 16 hidden projects... - kaggle (🥈28 · ⭐ 5K · 💀) - Official Kaggle API. Apache-2 - SKLL (🥉25 · ⭐ 530) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - knockknock (🥉24 · ⭐ 2.5K · 💀) - Knock Knock: Get notified when your training ends with only two.. MIT - gokart (🥉22 · ⭐ 260) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - TensorWatch (🥉21 · ⭐ 3.2K · 💀) - Debugging, monitoring and visualization for Python Machine.. MIT - hiddenlayer (🥉21 · ⭐ 1.6K · 💀) - Neural network graphs and training metrics for.. MIT - Studio.ml (🥉21 · ⭐ 380 · 💀) - Studio: Simplify and expedite model building process. Apache-2 - quinn (🥉21 · ⭐ 360 · 💀) - pyspark methods to enhance developer productivity. Apache-2 - TensorBoard Logger (🥉20 · ⭐ 620 · 💀) - Log TensorBoard events without touching TensorFlow. MIT - MXBoard (🥉19 · ⭐ 330 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (🥉17 · ⭐ 340 · 💀) - Open source production model management tool for data scientists. MIT - chitra (🥉16 · ⭐ 200) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (🥉16 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - caliban (🥉14 · ⭐ 440 · 💀) - Research workflows made easy, locally and in the Cloud. Apache-2 - ModelChimp (🥉13 · ⭐ 120 · 💀) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (🥉9 · ⭐ 10 · 💀) - Train off-the-shelf machine learning models in one.. Apache-2

## Model Serialization & Deployment Back to top _Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment._
onnx (🥇41 · ⭐ 13K) - Open standard for machine learning interoperability. Apache-2 - [GitHub](https://github.com/onnx/onnx) (👨‍💻 260 · 🔀 3K · 📥 18K · 📦 8.6K · 📋 2.2K - 14% open · ⏱️ 05.10.2022): ``` git clone https://github.com/onnx/onnx ``` - [PyPi](https://pypi.org/project/onnx) (📥 1.7M / month · 📦 390 · ⏱️ 18.06.2022): ``` pip install onnx ``` - [Conda](https://anaconda.org/conda-forge/onnx) (📥 530K · ⏱️ 26.09.2022): ``` conda install -c conda-forge onnx ```
Core ML Tools (🥇31 · ⭐ 2.9K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 - [GitHub](https://github.com/apple/coremltools) (👨‍💻 140 · 🔀 460 · 📥 4.5K · 📦 1.1K · 📋 1K - 22% open · ⏱️ 04.10.2022): ``` git clone https://github.com/apple/coremltools ``` - [PyPi](https://pypi.org/project/coremltools) (📥 100K / month · 📦 150 · ⏱️ 07.06.2022): ``` pip install coremltools ``` - [Conda](https://anaconda.org/conda-forge/coremltools) (📥 38K · ⏱️ 15.10.2021): ``` conda install -c conda-forge coremltools ```
huggingface_hub (🥇31 · ⭐ 560) - All the open source things related to the Hugging Face Hub. Apache-2 - [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 73 · 🔀 130 · 📋 320 - 26% open · ⏱️ 30.09.2022): ``` git clone https://github.com/huggingface/huggingface_hub ``` - [PyPi](https://pypi.org/project/huggingface_hub) (📥 5.8M / month · 📦 87 · ⏱️ 21.06.2022): ``` pip install huggingface_hub ``` - [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 410K · ⏱️ 28.09.2022): ``` conda install -c conda-forge huggingface_hub ```
triton (🥈30 · ⭐ 4.1K) - Development repository for the Triton language and compiler. MIT - [GitHub](https://github.com/openai/triton) (👨‍💻 56 · 🔀 340 · 📦 130 · 📋 290 - 39% open · ⏱️ 05.10.2022): ``` git clone https://github.com/openai/triton ``` - [PyPi](https://pypi.org/project/triton) (📥 85K / month · 📦 3 · ⏱️ 04.07.2022): ``` pip install triton ```
BentoML (🥈30 · ⭐ 4K) - Unified Model Serving Framework. Apache-2 - [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 130 · 🔀 460 · 📥 1.6K · 📋 710 - 11% open · ⏱️ 05.10.2022): ``` git clone https://github.com/bentoml/BentoML ``` - [PyPi](https://pypi.org/project/bentoml) (📥 23K / month · 📦 3 · ⏱️ 01.07.2022): ``` pip install bentoml ```
TorchServe (🥈29 · ⭐ 2.9K) - Serve, optimize and scale PyTorch models in production. Apache-2 - [GitHub](https://github.com/pytorch/serve) (👨‍💻 130 · 🔀 610 · 📥 2.2K · 📋 1K - 16% open · ⏱️ 05.10.2022): ``` git clone https://github.com/pytorch/serve ``` - [PyPi](https://pypi.org/project/torchserve) (📥 16K / month · 📦 9 · ⏱️ 13.05.2022): ``` pip install torchserve ``` - [Conda](https://anaconda.org/pytorch/torchserve) (📥 42K · ⏱️ 13.05.2022): ``` conda install -c pytorch torchserve ``` - [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 1M · ⭐ 16 · ⏱️ 19.07.2022): ``` docker pull pytorch/torchserve ```
Hummingbird (🥈28 · ⭐ 3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 35 · 🔀 250 · 📥 190 · 📦 44 · 📋 260 - 16% open · ⏱️ 05.10.2022): ``` git clone https://github.com/microsoft/hummingbird ``` - [PyPi](https://pypi.org/project/hummingbird-ml) (📥 4.6K / month · ⏱️ 25.04.2022): ``` pip install hummingbird-ml ``` - [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 15K · ⏱️ 05.08.2022): ``` conda install -c conda-forge hummingbird-ml ```
m2cgen (🥈27 · ⭐ 2.2K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT - [GitHub](https://github.com/BayesWitnesses/m2cgen) (👨‍💻 14 · 🔀 200 · 📥 39 · 📦 64 · 📋 100 - 30% open · ⏱️ 05.10.2022): ``` git clone https://github.com/BayesWitnesses/m2cgen ``` - [PyPi](https://pypi.org/project/m2cgen) (📥 74K / month · 📦 3 · ⏱️ 26.04.2022): ``` pip install m2cgen ```
cortex (🥉25 · ⭐ 7.8K) - Production infrastructure for machine learning at scale. Apache-2 - [GitHub](https://github.com/cortexlabs/cortex) (👨‍💻 24 · 🔀 600 · 📋 1.1K - 10% open · ⏱️ 23.09.2022): ``` git clone https://github.com/cortexlabs/cortex ``` - [PyPi](https://pypi.org/project/cortex) (📥 2K / month · 📦 1 · ⏱️ 10.01.2022): ``` pip install cortex ```
mmdnn (🥉25 · ⭐ 5.6K) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - [GitHub](https://github.com/microsoft/MMdnn) (👨‍💻 86 · 🔀 960 · 📥 3.6K · 📦 88 · 📋 620 - 53% open · ⏱️ 22.09.2022): ``` git clone https://github.com/Microsoft/MMdnn ``` - [PyPi](https://pypi.org/project/mmdnn) (📥 540 / month · 📦 3 · ⏱️ 24.07.2020): ``` pip install mmdnn ```
hls4ml (🥉25 · ⭐ 710) - Machine learning on FPGAs using HLS. Apache-2 - [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 46 · 🔀 270 · 📦 9 · 📋 330 - 43% open · ⏱️ 04.10.2022): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` - [PyPi](https://pypi.org/project/hls4ml) (📥 490 / month · ⏱️ 12.11.2021): ``` pip install hls4ml ``` - [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 4.2K · ⏱️ 12.11.2021): ``` conda install -c conda-forge hls4ml ```
sklearn-porter (🥉23 · ⭐ 1.2K) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - [GitHub](https://github.com/nok/sklearn-porter) (👨‍💻 12 · 🔀 160 · 📦 44 · 📋 76 - 55% open · ⏱️ 22.05.2022): ``` git clone https://github.com/nok/sklearn-porter ``` - [PyPi](https://pypi.org/project/sklearn-porter) (📥 280 / month · 📦 1 · ⏱️ 18.12.2019): ``` pip install sklearn-porter ```
nebullvm (🥉20 · ⭐ 1.4K) - Accelerate AI models inference leveraging best-of-breed.. Apache-2 - [GitHub](https://github.com/nebuly-ai/nebullvm) (👨‍💻 11 · 🔀 62 · 📦 3 · 📋 58 - 50% open · ⏱️ 12.09.2022): ``` git clone https://github.com/nebuly-ai/nebullvm ``` - [PyPi](https://pypi.org/project/nebullvm) (📥 520 / month · ⏱️ 28.06.2022): ``` pip install nebullvm ```
Show 7 hidden projects... - Larq Compute Engine (🥉20 · ⭐ 210) - Highly optimized inference engine for Binarized.. Apache-2 - OMLT (🥉20 · ⭐ 160) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - pytorch2keras (🥉19 · ⭐ 810 · 💀) - PyTorch to Keras model convertor. MIT - tfdeploy (🥉16 · ⭐ 350 · 💀) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - modelkit (🥉15 · ⭐ 140) - Toolkit for developing and maintaining ML models. MIT - backprop (🥉13 · ⭐ 230 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (🥉10 · ⭐ 470 · 🐣) - Reference implementation of the Transformer.. ❗Unlicensed

## Model Interpretability Back to top _Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._
shap (🥇39 · ⭐ 18K) - A game theoretic approach to explain the output of any machine learning model. MIT - [GitHub](https://github.com/slundberg/shap) (👨‍💻 200 · 🔀 2.6K · 📦 6.8K · 📋 2.1K - 69% open · ⏱️ 16.06.2022): ``` git clone https://github.com/slundberg/shap ``` - [PyPi](https://pypi.org/project/shap) (📥 3.8M / month · 📦 280 · ⏱️ 16.06.2022): ``` pip install shap ``` - [Conda](https://anaconda.org/conda-forge/shap) (📥 1.5M · ⏱️ 20.06.2022): ``` conda install -c conda-forge shap ```
Netron (🥇34 · ⭐ 20K) - Visualizer for neural network, deep learning, and machine.. MIT - [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.3K · 📥 49K · 📦 8 · 📋 860 - 3% open · ⏱️ 06.10.2022): ``` git clone https://github.com/lutzroeder/netron ``` - [PyPi](https://pypi.org/project/netron) (📥 12K / month · 📦 67 · ⏱️ 04.07.2022): ``` pip install netron ```
arviz (🥇34 · ⭐ 1.3K) - Exploratory analysis of Bayesian models with Python. Apache-2 - [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 130 · 🔀 300 · 📥 110 · 📦 2.8K · 📋 770 - 21% open · ⏱️ 06.10.2022): ``` git clone https://github.com/arviz-devs/arviz ``` - [PyPi](https://pypi.org/project/arviz) (📥 650K / month · 📦 100 · ⏱️ 13.05.2022): ``` pip install arviz ``` - [Conda](https://anaconda.org/conda-forge/arviz) (📥 880K · ⏱️ 13.07.2022): ``` conda install -c conda-forge arviz ```
InterpretML (🥇32 · ⭐ 5K) - Fit interpretable models. Explain blackbox machine learning. MIT - [GitHub](https://github.com/interpretml/interpret) (👨‍💻 31 · 🔀 600 · 📦 280 · 📋 310 - 33% open · ⏱️ 05.10.2022): ``` git clone https://github.com/interpretml/interpret ``` - [PyPi](https://pypi.org/project/interpret) (📥 110K / month · 📦 16 · ⏱️ 23.09.2021): ``` pip install interpret ```
Model Analysis (🥇31 · ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 49 · 🔀 250 · 📋 77 - 36% open · ⏱️ 06.10.2022): ``` git clone https://github.com/tensorflow/model-analysis ``` - [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 870K / month · 📦 21 · ⏱️ 16.05.2022): ``` pip install tensorflow-model-analysis ```
yellowbrick (🥈30 · ⭐ 3.7K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 - [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (👨‍💻 110 · 🔀 520 · 📋 680 - 12% open · ⏱️ 21.08.2022): ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` - [PyPi](https://pypi.org/project/yellowbrick) (📥 1M / month · 📦 67 · ⏱️ 19.02.2022): ``` pip install yellowbrick ``` - [Conda](https://anaconda.org/conda-forge/yellowbrick) (📥 40K · ⏱️ 22.08.2022): ``` conda install -c conda-forge yellowbrick ```
Captum (🥈30 · ⭐ 3.5K · 📈) - Model interpretability and understanding for PyTorch. BSD-3 - [GitHub](https://github.com/pytorch/captum) (👨‍💻 91 · 🔀 370 · 📦 710 · 📋 420 - 30% open · ⏱️ 03.10.2022): ``` git clone https://github.com/pytorch/captum ``` - [PyPi](https://pypi.org/project/captum) (📥 53K / month · 📦 23 · ⏱️ 03.03.2022): ``` pip install captum ``` - [Conda](https://anaconda.org/conda-forge/captum) (📥 3.4K · ⏱️ 04.03.2022): ``` conda install -c conda-forge captum ```
dtreeviz (🥈30 · ⭐ 2.2K) - A python library for decision tree visualization and model interpretation. MIT - [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 21 · 🔀 280 · 📦 490 · 📋 130 - 21% open · ⏱️ 28.09.2022): ``` git clone https://github.com/parrt/dtreeviz ``` - [PyPi](https://pypi.org/project/dtreeviz) (📥 140K / month · 📦 14 · ⏱️ 29.04.2022): ``` pip install dtreeviz ``` - [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 24K · ⏱️ 07.07.2022): ``` conda install -c conda-forge dtreeviz ```
shapash (🥈30 · ⭐ 2K) - Shapash makes Machine Learning models transparent and.. Apache-2 - [GitHub](https://github.com/MAIF/shapash) (👨‍💻 34 · 🔀 240 · 📦 85 · 📋 120 - 15% open · ⏱️ 15.09.2022): ``` git clone https://github.com/MAIF/shapash ``` - [PyPi](https://pypi.org/project/shapash) (📥 25K / month · 📦 1 · ⏱️ 09.05.2022): ``` pip install shapash ```
Alibi (🥈30 · ⭐ 1.8K) - Algorithms for explaining machine learning models. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi) (👨‍💻 18 · 🔀 200 · 📦 200 · 📋 320 - 38% open · ⏱️ 04.10.2022): ``` git clone https://github.com/SeldonIO/alibi ``` - [PyPi](https://pypi.org/project/alibi) (📥 25K / month · 📦 24 · ⏱️ 18.05.2022): ``` pip install alibi ```
DoWhy (🥈28 · ⭐ 5.3K) - DoWhy is a Python library for causal inference that supports explicit.. MIT - [GitHub](https://github.com/py-why/dowhy) (👨‍💻 62 · 🔀 720 · 📥 31 · 📋 280 - 34% open · ⏱️ 05.10.2022): ``` git clone https://github.com/py-why/dowhy ``` - [PyPi](https://pypi.org/project/dowhy) (📥 100K / month · 📦 5 · ⏱️ 20.03.2022): ``` pip install dowhy ``` - [Conda](https://anaconda.org/conda-forge/dowhy) (📥 9.3K · ⏱️ 19.07.2022): ``` conda install -c conda-forge dowhy ```
fairlearn (🥈28 · ⭐ 1.4K) - A Python package to assess and improve fairness of machine.. MIT - [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 68 · 🔀 320 · 📋 390 - 43% open · ⏱️ 06.10.2022): ``` git clone https://github.com/fairlearn/fairlearn ``` - [PyPi](https://pypi.org/project/fairlearn) (📥 140K / month · 📦 13 · ⏱️ 07.07.2021): ``` pip install fairlearn ``` - [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 21K · ⏱️ 07.07.2021): ``` conda install -c conda-forge fairlearn ```
evaluate (🥈28 · ⭐ 900) - A library for easily evaluating machine learning models and datasets. Apache-2 - [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 100 · 🔀 52 · 📦 190 · 📋 120 - 40% open · ⏱️ 05.10.2022): ``` git clone https://github.com/huggingface/evaluate ``` - [PyPi](https://pypi.org/project/evaluate) (📥 52K / month · 📦 1 · ⏱️ 16.06.2022): ``` pip install evaluate ```
responsible-ai-widgets (🥈28 · ⭐ 570) - This project provides responsible AI user interfaces.. MIT - [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 29 · 🔀 140 · 📦 38 · 📋 280 - 20% open · ⏱️ 06.10.2022): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` - [PyPi](https://pypi.org/project/raiwidgets) (📥 8.8K / month · 📦 3 · ⏱️ 10.06.2022): ``` pip install raiwidgets ```
Fairness 360 (🥈27 · ⭐ 1.8K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 62 · 🔀 620 · 📦 180 · 📋 220 - 63% open · ⏱️ 21.09.2022): ``` git clone https://github.com/Trusted-AI/AIF360 ``` - [PyPi](https://pypi.org/project/aif360) (📥 6.4K / month · 📦 10 · ⏱️ 04.03.2021): ``` pip install aif360 ``` - [Conda](https://anaconda.org/conda-forge/aif360) (📥 3.6K · ⏱️ 04.09.2022): ``` conda install -c conda-forge aif360 ```
explainerdashboard (🥈27 · ⭐ 1.3K) - Quickly build Explainable AI dashboards that show the inner.. MIT - [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 15 · 🔀 180 · 📦 170 · 📋 180 - 8% open · ⏱️ 16.06.2022): ``` git clone https://github.com/oegedijk/explainerdashboard ``` - [PyPi](https://pypi.org/project/explainerdashboard) (📥 110K / month · 📦 4 · ⏱️ 15.06.2022): ``` pip install explainerdashboard ``` - [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 23K · ⏱️ 15.02.2022): ``` conda install -c conda-forge explainerdashboard ```
Explainability 360 (🥈27 · ⭐ 1.2K · 📈) - Interpretability and explainability of data and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 38 · 🔀 240 · 📦 62 · 📋 66 - 57% open · ⏱️ 02.10.2022): ``` git clone https://github.com/Trusted-AI/AIX360 ``` - [PyPi](https://pypi.org/project/aix360) (📥 1.6K / month · 📦 1 · ⏱️ 28.10.2020): ``` pip install aix360 ```
CausalNex (🥉25 · ⭐ 1.7K) - A Python library that helps data scientists to infer.. Apache-2 - [GitHub](https://github.com/quantumblacklabs/causalnex) (👨‍💻 28 · 🔀 200 · 📦 54 · 📋 120 - 6% open · ⏱️ 20.09.2022): ``` git clone https://github.com/quantumblacklabs/causalnex ``` - [PyPi](https://pypi.org/project/causalnex) (📥 2.1K / month · 📦 2 · ⏱️ 11.11.2021): ``` pip install causalnex ```
checklist (🥉24 · ⭐ 1.8K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - [GitHub](https://github.com/marcotcr/checklist) (👨‍💻 13 · 🔀 170 · 📦 160 · 📋 93 - 12% open · ⏱️ 12.08.2022): ``` git clone https://github.com/marcotcr/checklist ``` - [PyPi](https://pypi.org/project/checklist) (📥 8.5K / month · 📦 3 · ⏱️ 24.05.2021): ``` pip install checklist ``` - [Conda](https://anaconda.org/conda-forge/checklist) (📥 4.2K · ⏱️ 15.07.2021): ``` conda install -c conda-forge checklist ```
keract (🥉24 · ⭐ 990) - Layers Outputs and Gradients in Keras. Made easy. MIT - [GitHub](https://github.com/philipperemy/keract) (👨‍💻 16 · 🔀 180 · 📦 150 · 📋 88 - 3% open · ⏱️ 26.09.2022): ``` git clone https://github.com/philipperemy/keract ``` - [PyPi](https://pypi.org/project/keract) (📥 1.4K / month · 📦 6 · ⏱️ 19.06.2021): ``` pip install keract ```
imodels (🥉24 · ⭐ 920) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT - [GitHub](https://github.com/csinva/imodels) (👨‍💻 13 · 🔀 89 · 📦 21 · 📋 43 - 37% open · ⏱️ 15.09.2022): ``` git clone https://github.com/csinva/imodels ``` - [PyPi](https://pypi.org/project/imodels) (📥 18K / month · 📦 2 · ⏱️ 03.07.2022): ``` pip install imodels ```
sklearn-evaluation (🥉24 · ⭐ 340) - Machine learning model evaluation made easy: plots,.. MIT - [GitHub](https://github.com/ploomber/sklearn-evaluation) (👨‍💻 8 · 🔀 31 · 📦 51 · 📋 40 - 20% open · ⏱️ 16.09.2022): ``` git clone https://github.com/edublancas/sklearn-evaluation ``` - [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 1.9K / month · 📦 2 · ⏱️ 05.07.2022): ``` pip install sklearn-evaluation ```
LIT (🥉23 · ⭐ 3K · 💤) - The Language Interpretability Tool: Interactively analyze NLP models.. Apache-2 - [GitHub](https://github.com/PAIR-code/lit) (👨‍💻 18 · 🔀 310 · 📦 11 · 📋 130 - 47% open · ⏱️ 15.03.2022): ``` git clone https://github.com/PAIR-code/lit ``` - [PyPi](https://pypi.org/project/lit-nlp) (📥 1K / month · ⏱️ 21.12.2021): ``` pip install lit-nlp ``` - [Conda](https://anaconda.org/conda-forge/lit-nlp) (📥 45K · ⏱️ 09.11.2021): ``` conda install -c conda-forge lit-nlp ```
What-If Tool (🥉22 · ⭐ 750 · 💤) - Source code/webpage/demos for the What-If Tool. Apache-2 - [GitHub](https://github.com/PAIR-code/what-if-tool) (👨‍💻 20 · 🔀 140 · 📋 110 - 52% open · ⏱️ 05.01.2022): ``` git clone https://github.com/PAIR-code/what-if-tool ``` - [PyPi](https://pypi.org/project/witwidget) (📥 10K / month · 📦 3 · ⏱️ 12.10.2021): ``` pip install witwidget ``` - [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (📥 1.3M · ⏱️ 06.01.2022): ``` conda install -c conda-forge tensorboard-plugin-wit ``` - [npm](https://www.npmjs.com/package/wit-widget) (📥 4.7K / month · ⏱️ 12.10.2021): ``` npm install wit-widget ```
iNNvestigate (🥉21 · ⭐ 1K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - [GitHub](https://github.com/albermax/innvestigate) (👨‍💻 19 · 🔀 230 · 📥 31 · 📋 240 - 21% open · ⏱️ 14.09.2022): ``` git clone https://github.com/albermax/innvestigate ``` - [PyPi](https://pypi.org/project/innvestigate) (📥 420 / month · 📦 2 · ⏱️ 14.11.2020): ``` pip install innvestigate ```
tf-explain (🥉21 · ⭐ 950) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT - [GitHub](https://github.com/sicara/tf-explain) (👨‍💻 18 · 🔀 100 · 📦 130 · 📋 92 - 44% open · ⏱️ 30.06.2022): ``` git clone https://github.com/sicara/tf-explain ``` - [PyPi](https://pypi.org/project/tf-explain) (📥 2K / month · 📦 7 · ⏱️ 18.11.2021): ``` pip install tf-explain ```
DiCE (🥉21 · ⭐ 930) - Generate Diverse Counterfactual Explanations for any machine.. MIT - [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 14 · 🔀 130 · 📋 130 - 46% open · ⏱️ 06.10.2022): ``` git clone https://github.com/interpretml/DiCE ``` - [PyPi](https://pypi.org/project/dice-ml) (📥 46K / month · 📦 4 · ⏱️ 02.06.2022): ``` pip install dice-ml ```
deeplift (🥉21 · ⭐ 670 · 💤) - Public facing deeplift repo. MIT - [GitHub](https://github.com/kundajelab/deeplift) (👨‍💻 11 · 🔀 150 · 📦 63 · 📋 85 - 43% open · ⏱️ 11.11.2021): ``` git clone https://github.com/kundajelab/deeplift ``` - [PyPi](https://pypi.org/project/deeplift) (📥 520 / month · 📦 4 · ⏱️ 11.11.2020): ``` pip install deeplift ```
ecco (🥉19 · ⭐ 1.5K · 💤) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 - [GitHub](https://github.com/jalammar/ecco) (👨‍💻 10 · 🔀 98 · 📥 21 · 📦 10 · 📋 38 - 39% open · ⏱️ 18.01.2022): ``` git clone https://github.com/jalammar/ecco ``` - [PyPi](https://pypi.org/project/ecco) (📥 580 / month · 📦 1 · ⏱️ 09.01.2022): ``` pip install ecco ``` - [Conda](https://anaconda.org/conda-forge/ecco) (📥 2K · ⏱️ 10.01.2022): ``` conda install -c conda-forge ecco ```
model-card-toolkit (🥉18 · ⭐ 310) - a tool that leverages rich metadata and lineage.. Apache-2 - [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨‍💻 13 · 🔀 63 · 📦 11 · 📋 18 - 88% open · ⏱️ 28.04.2022): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` - [PyPi](https://pypi.org/project/model-card-toolkit) (📥 1.2K / month · ⏱️ 28.04.2022): ``` pip install model-card-toolkit ```
XAI (🥉16 · ⭐ 850 · 💤) - XAI - An eXplainability toolbox for machine learning. MIT - [GitHub](https://github.com/EthicalML/xai) (👨‍💻 3 · 🔀 130 · 📦 19 · 📋 9 - 22% open · ⏱️ 30.10.2021): ``` git clone https://github.com/EthicalML/xai ``` - [PyPi](https://pypi.org/project/xai) (📥 110 / month · 📦 6 · ⏱️ 30.10.2021): ``` pip install xai ```
LOFO (🥉16 · ⭐ 530) - Leave One Feature Out Importance. MIT - [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 3 · 🔀 60 · 📦 20 · 📋 20 - 20% open · ⏱️ 27.04.2022): ``` git clone https://github.com/aerdem4/lofo-importance ``` - [PyPi](https://pypi.org/project/lofo-importance) (📥 330 / month · 📦 1 · ⏱️ 27.04.2022): ``` pip install lofo-importance ```
Anchor (🥉15 · ⭐ 720) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - [GitHub](https://github.com/marcotcr/anchor) (👨‍💻 10 · 🔀 100 · 📋 73 - 30% open · ⏱️ 19.07.2022): ``` git clone https://github.com/marcotcr/anchor ``` - [PyPi](https://pypi.org/project/anchor_exp) (📥 1.2K / month · 📦 2 · ⏱️ 10.09.2020): ``` pip install anchor_exp ```
ExplainX.ai (🥉15 · ⭐ 320) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (👨‍💻 4 · 🔀 41 · 📥 5 · 📋 27 - 37% open · ⏱️ 15.09.2022): ``` git clone https://github.com/explainX/explainx ``` - [PyPi](https://pypi.org/project/explainx) (📥 2.1K / month · ⏱️ 04.02.2021): ``` pip install explainx ```
interpret-text (🥉13 · ⭐ 340 · 💤) - A library that incorporates state-of-the-art explainers.. MIT - [GitHub](https://github.com/interpretml/interpret-text) (👨‍💻 17 · 🔀 58 · 📋 74 - 78% open · ⏱️ 06.12.2021): ``` git clone https://github.com/interpretml/interpret-text ``` - [PyPi](https://pypi.org/project/interpret-text) (📥 52 / month · ⏱️ 07.12.2021): ``` pip install interpret-text ```
Show 19 hidden projects... - Lime (🥇33 · ⭐ 10K · 💀) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - pyLDAvis (🥇31 · ⭐ 1.6K · 💀) - Python library for interactive topic model visualization... BSD-3 - eli5 (🥈28 · ⭐ 2.6K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (🥈27 · ⭐ 2.2K · 💀) - An intuitive library to add plotting functionality to.. MIT - Deep Checks (🥈27 · ⭐ 2.1K) - Test Suites for Validating ML Models & Data. Deepchecks is a.. ❗️AGPL-3.0 - Lucid (🥉26 · ⭐ 4.4K · 💀) - A collection of infrastructure and tools for research in.. Apache-2 - keras-vis (🥉25 · ⭐ 2.9K · 💀) - Neural network visualization toolkit for keras. MIT - DALEX (🥉24 · ⭐ 1.1K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - TreeInterpreter (🥉22 · ⭐ 720 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3 - random-forest-importances (🥉22 · ⭐ 520 · 💀) - Code to compute permutation and drop-column.. MIT - aequitas (🥉22 · ⭐ 500 · 💀) - Bias and Fairness Audit Toolkit. MIT - Skater (🥉21 · ⭐ 1K · 💤) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - tcav (🥉19 · ⭐ 540 · 💀) - Code for the TCAV ML interpretability project. Apache-2 - fairness-indicators (🥉19 · ⭐ 280) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - Quantus (🥉19 · ⭐ 240) - Quantus is an eXplainable AI toolkit for responsible.. ❗️CC-BY-NC-SA-3.0 - FlashTorch (🥉17 · ⭐ 680 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - Attribution Priors (🥉12 · ⭐ 100 · 💀) - Tools for training explainable models using.. MIT - contextual-ai (🥉12 · ⭐ 81 · 💤) - Contextual AI adds explainability to different stages of.. Apache-2 - bias-detector (🥉11 · ⭐ 40) - Bias Detector is a python package for detecting bias in machine.. MIT

## Vector Similarity Search (ANN) Back to top _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._ 🔗 ANN Benchmarks ( ⭐ 3.1K) - Benchmarks of approximate nearest neighbor libraries in Python.
Milvus (🥇38 · ⭐ 14K) - Vector database for scalable similarity search and AI applications. Apache-2 - [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 220 · 🔀 1.8K · 📥 47K · 📦 1 · 📋 6.1K - 6% open · ⏱️ 06.10.2022): ``` git clone https://github.com/milvus-io/milvus ``` - [PyPi](https://pypi.org/project/pymilvus) (📥 180K / month · 📦 17 · ⏱️ 02.04.2022): ``` pip install pymilvus ``` - [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 1.6M · ⭐ 22 · ⏱️ 06.10.2022): ``` docker pull milvusdb/milvus ```
Faiss (🥇36 · ⭐ 18K) - A library for efficient similarity search and clustering of dense vectors. MIT - [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 110 · 🔀 2.7K · 📦 740 · 📋 1.9K - 10% open · ⏱️ 04.10.2022): ``` git clone https://github.com/facebookresearch/faiss ``` - [PyPi](https://pypi.org/project/pymilvus) (📥 180K / month · 📦 17 · ⏱️ 02.04.2022): ``` pip install pymilvus ``` - [Conda](https://anaconda.org/conda-forge/faiss) (📥 510K · ⏱️ 14.09.2022): ``` conda install -c conda-forge faiss ```
Annoy (🥈33 · ⭐ 10K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 - [GitHub](https://github.com/spotify/annoy) (👨‍💻 82 · 🔀 1K · 📦 2.3K · 📋 360 - 11% open · ⏱️ 08.08.2022): ``` git clone https://github.com/spotify/annoy ``` - [PyPi](https://pypi.org/project/annoy) (📥 1.2M / month · 📦 240 · ⏱️ 18.09.2020): ``` pip install annoy ``` - [Conda](https://anaconda.org/conda-forge/python-annoy) (📥 270K · ⏱️ 23.04.2022): ``` conda install -c conda-forge python-annoy ```
NMSLIB (🥈29 · ⭐ 2.9K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 - [GitHub](https://github.com/nmslib/nmslib) (👨‍💻 48 · 🔀 400 · 📦 680 · 📋 410 - 15% open · ⏱️ 31.05.2022): ``` git clone https://github.com/nmslib/nmslib ``` - [PyPi](https://pypi.org/project/nmslib) (📥 110K / month · 📦 52 · ⏱️ 03.02.2021): ``` pip install nmslib ``` - [Conda](https://anaconda.org/conda-forge/nmslib) (📥 65K · ⏱️ 15.04.2022): ``` conda install -c conda-forge nmslib ```
hnswlib (🥈28 · ⭐ 2.2K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 - [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 56 · 🔀 410 · 📦 290 · 📋 280 - 53% open · ⏱️ 16.04.2022): ``` git clone https://github.com/nmslib/hnswlib ``` - [PyPi](https://pypi.org/project/hnswlib) (📥 410K / month · 📦 28 · ⏱️ 14.02.2022): ``` pip install hnswlib ``` - [Conda](https://anaconda.org/conda-forge/hnswlib) (📥 55K · ⏱️ 16.04.2022): ``` conda install -c conda-forge hnswlib ```
PyNNDescent (🥈28 · ⭐ 680) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 - [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 23 · 🔀 90 · 📦 2.1K · 📋 110 - 49% open · ⏱️ 17.09.2022): ``` git clone https://github.com/lmcinnes/pynndescent ``` - [PyPi](https://pypi.org/project/pynndescent) (📥 710K / month · 📦 26 · ⏱️ 14.05.2022): ``` pip install pynndescent ``` - [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 930K · ⏱️ 15.05.2022): ``` conda install -c conda-forge pynndescent ```
NGT (🥉23 · ⭐ 940) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 14 · 🔀 95 · 📋 100 - 11% open · ⏱️ 21.09.2022): ``` git clone https://github.com/yahoojapan/NGT ``` - [PyPi](https://pypi.org/project/ngt) (📥 23K / month · 📦 8 · ⏱️ 20.06.2022): ``` pip install ngt ```
Show 4 hidden projects... - Magnitude (🥉23 · ⭐ 1.5K · 💀) - A fast, efficient universal vector embedding utility package. MIT - NearPy (🥉21 · ⭐ 720 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (🥉19 · ⭐ 530 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - PySparNN (🥉11 · ⭐ 900 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

## Probabilistics & Statistics Back to top _Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._
PyMC3 (🥇40 · ⭐ 7K) - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic.. Apache-2 - [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 420 · 🔀 1.7K · 📥 1.9K · 📦 760 · 📋 2.8K - 6% open · ⏱️ 05.10.2022): ``` git clone https://github.com/pymc-devs/pymc ``` - [PyPi](https://pypi.org/project/pymc3) (📥 350K / month · 📦 240 · ⏱️ 15.03.2022): ``` pip install pymc3 ``` - [Conda](https://anaconda.org/conda-forge/pymc3) (📥 450K · ⏱️ 20.05.2022): ``` conda install -c conda-forge pymc3 ```
tensorflow-probability (🥇37 · ⭐ 3.8K) - Probabilistic reasoning and statistical analysis in.. Apache-2 - [GitHub](https://github.com/tensorflow/probability) (👨‍💻 460 · 🔀 1K · 📋 1.3K - 46% open · ⏱️ 06.10.2022): ``` git clone https://github.com/tensorflow/probability ``` - [PyPi](https://pypi.org/project/tensorflow-probability) (📥 1.2M / month · 📦 340 · ⏱️ 07.06.2022): ``` pip install tensorflow-probability ``` - [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 75K · ⏱️ 08.08.2022): ``` conda install -c conda-forge tensorflow-probability ```
Pyro (🥇34 · ⭐ 7.6K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 - [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 130 · 🔀 930 · 📦 870 · 📋 1K - 22% open · ⏱️ 30.09.2022): ``` git clone https://github.com/pyro-ppl/pyro ``` - [PyPi](https://pypi.org/project/pyro-ppl) (📥 410K / month · 📦 60 · ⏱️ 24.03.2022): ``` pip install pyro-ppl ``` - [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 23K · ⏱️ 07.09.2022): ``` conda install -c conda-forge pyro-ppl ```
GPyTorch (🥈33 · ⭐ 2.9K) - A highly efficient and modular implementation of Gaussian Processes.. MIT - [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 110 · 🔀 440 · 📦 730 · 📋 1.2K - 26% open · ⏱️ 03.10.2022): ``` git clone https://github.com/cornellius-gp/gpytorch ``` - [PyPi](https://pypi.org/project/gpytorch) (📥 220K / month · 📦 41 · ⏱️ 27.06.2022): ``` pip install gpytorch ``` - [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 53K · ⏱️ 08.09.2022): ``` conda install -c conda-forge gpytorch ```
hmmlearn (🥈31 · ⭐ 2.6K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 - [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 41 · 🔀 700 · 📦 1.4K · 📋 400 - 14% open · ⏱️ 27.09.2022): ``` git clone https://github.com/hmmlearn/hmmlearn ``` - [PyPi](https://pypi.org/project/hmmlearn) (📥 93K / month · 📦 130 · ⏱️ 10.02.2022): ``` pip install hmmlearn ``` - [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 140K · ⏱️ 27.09.2022): ``` conda install -c conda-forge hmmlearn ```
filterpy (🥈31 · ⭐ 2.4K) - Python Kalman filtering and optimal estimation library. Implements.. MIT - [GitHub](https://github.com/rlabbe/filterpy) (👨‍💻 43 · 🔀 520 · 📦 1.7K · 📋 210 - 25% open · ⏱️ 22.08.2022): ``` git clone https://github.com/rlabbe/filterpy ``` - [PyPi](https://pypi.org/project/filterpy) (📥 1.1M / month · 📦 130 · ⏱️ 10.10.2018): ``` pip install filterpy ``` - [Conda](https://anaconda.org/conda-forge/filterpy) (📥 150K · ⏱️ 05.05.2020): ``` conda install -c conda-forge filterpy ```
pgmpy (🥈31 · ⭐ 2.2K) - Python Library for learning (Structure and Parameter), inference.. MIT - [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 110 · 🔀 650 · 📥 170 · 📦 420 · 📋 810 - 27% open · ⏱️ 30.09.2022): ``` git clone https://github.com/pgmpy/pgmpy ``` - [PyPi](https://pypi.org/project/pgmpy) (📥 54K / month · 📦 11 · ⏱️ 30.06.2022): ``` pip install pgmpy ```
GPflow (🥈31 · ⭐ 1.7K) - Gaussian processes in TensorFlow. Apache-2 - [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 79 · 🔀 430 · 📦 400 · 📋 800 - 16% open · ⏱️ 29.09.2022): ``` git clone https://github.com/GPflow/GPflow ``` - [PyPi](https://pypi.org/project/gpflow) (📥 35K / month · 📦 29 · ⏱️ 10.05.2022): ``` pip install gpflow ``` - [Conda](https://anaconda.org/conda-forge/gpflow) (📥 16K · ⏱️ 24.05.2022): ``` conda install -c conda-forge gpflow ```
emcee (🥈31 · ⭐ 1.3K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT - [GitHub](https://github.com/dfm/emcee) (👨‍💻 65 · 🔀 420 · 📦 1.5K · 📋 270 - 15% open · ⏱️ 27.09.2022): ``` git clone https://github.com/dfm/emcee ``` - [PyPi](https://pypi.org/project/emcee) (📥 110K / month · 📦 310 · ⏱️ 10.05.2022): ``` pip install emcee ``` - [Conda](https://anaconda.org/conda-forge/emcee) (📥 240K · ⏱️ 28.09.2022): ``` conda install -c conda-forge emcee ```
SALib (🥈31 · ⭐ 640) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT - [GitHub](https://github.com/SALib/SALib) (👨‍💻 38 · 🔀 190 · 📋 290 - 13% open · ⏱️ 02.10.2022): ``` git clone https://github.com/SALib/SALib ``` - [PyPi](https://pypi.org/project/salib) (📥 170K / month · 📦 63 · ⏱️ 22.06.2022): ``` pip install salib ``` - [Conda](https://anaconda.org/conda-forge/salib) (📥 94K · ⏱️ 04.09.2021): ``` conda install -c conda-forge salib ```
pomegranate (🥉29 · ⭐ 3K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT - [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 66 · 🔀 540 · 📦 760 · 📋 680 - 9% open · ⏱️ 04.07.2022): ``` git clone https://github.com/jmschrei/pomegranate ``` - [PyPi](https://pypi.org/project/pomegranate) (📥 80K / month · 📦 46 · ⏱️ 21.02.2022): ``` pip install pomegranate ``` - [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 100K · ⏱️ 19.09.2022): ``` conda install -c conda-forge pomegranate ```
pandas-ta (🥉29 · ⭐ 2.9K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT - [GitHub](https://github.com/twopirllc/pandas-ta) (👨‍💻 45 · 🔀 640 · 📦 860 · 📋 440 - 17% open · ⏱️ 24.09.2022): ``` git clone https://github.com/twopirllc/pandas-ta ``` - [PyPi](https://pypi.org/project/pandas-ta) (📥 68K / month · 📦 19 · ⏱️ 28.07.2021): ``` pip install pandas-ta ``` - [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 2.5K · ⏱️ 05.10.2021): ``` conda install -c conda-forge pandas-ta ```
patsy (🥉29 · ⭐ 860) - Describing statistical models in Python using symbolic formulas. BSD-2 - [GitHub](https://github.com/pydata/patsy) (👨‍💻 17 · 🔀 94 · 📦 58K · 📋 140 - 50% open · ⏱️ 16.08.2022): ``` git clone https://github.com/pydata/patsy ``` - [PyPi](https://pypi.org/project/patsy) (📥 8M / month · 📦 2.6K · ⏱️ 26.09.2021): ``` pip install patsy ``` - [Conda](https://anaconda.org/conda-forge/patsy) (📥 5.9M · ⏱️ 26.09.2021): ``` conda install -c conda-forge patsy ```
bambi (🥉26 · ⭐ 830) - BAyesian Model-Building Interface (Bambi) in Python. MIT - [GitHub](https://github.com/bambinos/bambi) (👨‍💻 26 · 🔀 92 · 📦 35 · 📋 280 - 19% open · ⏱️ 08.09.2022): ``` git clone https://github.com/bambinos/bambi ``` - [PyPi](https://pypi.org/project/bambi) (📥 25K / month · 📦 3 · ⏱️ 06.06.2022): ``` pip install bambi ``` - [Conda](https://anaconda.org/conda-forge/bambi) (📥 14K · ⏱️ 29.08.2022): ``` conda install -c conda-forge bambi ```
Orbit (🥉25 · ⭐ 1.5K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 - [GitHub](https://github.com/uber/orbit) (👨‍💻 18 · 🔀 110 · 📦 9 · 📋 380 - 15% open · ⏱️ 14.09.2022): ``` git clone https://github.com/uber/orbit ``` - [PyPi](https://pypi.org/project/orbit-ml) (📥 200K / month · 📦 1 · ⏱️ 28.04.2022): ``` pip install orbit-ml ```
Baal (🥉19 · ⭐ 650) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 - [GitHub](https://github.com/baal-org/baal) (👨‍💻 18 · 🔀 62 · 📋 93 - 30% open · ⏱️ 05.10.2022): ``` git clone https://github.com/baal-org/baal ``` - [PyPi](https://pypi.org/project/baal) (📥 570 / month · 📦 1 · ⏱️ 03.05.2022): ``` pip install baal ``` - [Conda](https://anaconda.org/conda-forge/baal) (📥 3.3K · ⏱️ 04.05.2022): ``` conda install -c conda-forge baal ```
Show 7 hidden projects... - pingouin (🥉29 · ⭐ 1.2K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (🥉28 · ⭐ 4.7K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - PyStan (🥉27 · ⭐ 200) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - scikit-posthocs (🥉23 · ⭐ 260) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT - pyhsmm (🥉20 · ⭐ 520 · 💀) - Bayesian inference in HSMMs and HMMs. MIT - Funsor (🥉18 · ⭐ 200) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (🥉16 · ⭐ 2.1K · 💀) - A probabilistic programming library for Bayesian deep learning,.. MIT

## Adversarial Robustness Back to top _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._
ART (🥇34 · ⭐ 3.3K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT - [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 110 · 🔀 890 · 📦 260 · 📋 720 - 12% open · ⏱️ 04.10.2022): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` - [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 8K / month · 📦 7 · ⏱️ 01.07.2022): ``` pip install adversarial-robustness-toolbox ``` - [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 16K · ⏱️ 28.09.2022): ``` conda install -c conda-forge adversarial-robustness-toolbox ```
TextAttack (🥈30 · ⭐ 2.1K) - TextAttack is a Python framework for adversarial attacks, data.. MIT - [GitHub](https://github.com/QData/TextAttack) (👨‍💻 54 · 🔀 260 · 📦 97 · 📋 220 - 9% open · ⏱️ 23.09.2022): ``` git clone https://github.com/QData/TextAttack ``` - [PyPi](https://pypi.org/project/textattack) (📥 9.4K / month · 📦 7 · ⏱️ 25.05.2022): ``` pip install textattack ``` - [Conda](https://anaconda.org/conda-forge/textattack) (📥 4K · ⏱️ 29.06.2021): ``` conda install -c conda-forge textattack ```
Foolbox (🥈28 · ⭐ 2.3K · 📉) - A Python toolbox to create adversarial examples that fool neural.. MIT - [GitHub](https://github.com/bethgelab/foolbox) (👨‍💻 32 · 🔀 400 · 📦 330 · 📋 350 - 6% open · ⏱️ 25.05.2022): ``` git clone https://github.com/bethgelab/foolbox ``` - [PyPi](https://pypi.org/project/foolbox) (📥 28K / month · 📦 13 · ⏱️ 02.04.2022): ``` pip install foolbox ``` - [Conda](https://anaconda.org/conda-forge/foolbox) (📥 7.9K · ⏱️ 30.04.2021): ``` conda install -c conda-forge foolbox ```
AdvBox (🥉18 · ⭐ 1.3K) - Advbox is a toolbox to generate adversarial examples that fool neural.. Apache-2 - [GitHub](https://github.com/advboxes/AdvBox) (👨‍💻 19 · 🔀 240 · 📋 38 - 21% open · ⏱️ 08.08.2022): ``` git clone https://github.com/advboxes/AdvBox ``` - [PyPi](https://pypi.org/project/advbox) (📥 22 / month · ⏱️ 05.12.2018): ``` pip install advbox ```
robustness (🥉17 · ⭐ 740 · 💤) - A library for experimenting with, training and evaluating neural.. MIT - [GitHub](https://github.com/MadryLab/robustness) (👨‍💻 13 · 🔀 140 · 📦 86 · 📋 75 - 25% open · ⏱️ 14.02.2022): ``` git clone https://github.com/MadryLab/robustness ``` - [PyPi](https://pypi.org/project/robustness) (📥 880 / month · 📦 2 · ⏱️ 01.12.2020): ``` pip install robustness ``` - [Conda](https://anaconda.org/conda-forge/robustness) (📥 4.8K · ⏱️ 30.04.2021): ``` conda install -c conda-forge robustness ```
Show 4 hidden projects... - CleverHans (🥈29 · ⭐ 5.6K · 💀) - An adversarial example library for constructing attacks,.. MIT - advertorch (🥉22 · ⭐ 1.1K) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - textflint (🥉16 · ⭐ 580) - Unified Multilingual Robustness Evaluation Toolkit for Natural.. ❗️GPL-3.0 - Adversary (🥉14 · ⭐ 370 · 💀) - Tool to generate adversarial text examples and test machine.. MIT

## GPU & Accelerator Utilities Back to top _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._
CuPy (🥇38 · ⭐ 6.4K · 📈) - NumPy & SciPy for GPU. MIT - [GitHub](https://github.com/cupy/cupy) (👨‍💻 310 · 🔀 630 · 📥 46K · 📦 1.2K · 📋 1.9K - 24% open · ⏱️ 06.10.2022): ``` git clone https://github.com/cupy/cupy ``` - [PyPi](https://pypi.org/project/cupy) (📥 19K / month · 📦 160 · ⏱️ 30.06.2022): ``` pip install cupy ``` - [Conda](https://anaconda.org/conda-forge/cupy) (📥 1.9M · ⏱️ 11.09.2022): ``` conda install -c conda-forge cupy ``` - [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 55K · ⭐ 8 · ⏱️ 06.10.2022): ``` docker pull cupy/cupy ```
cuDF (🥇31 · ⭐ 5K) - cuDF - GPU DataFrame Library. Apache-2 - [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 250 · 🔀 650 · 📋 4.9K - 14% open · ⏱️ 05.10.2022): ``` git clone https://github.com/rapidsai/cudf ``` - [PyPi](https://pypi.org/project/cudf) (📥 1.7K / month · 📦 6 · ⏱️ 01.06.2020): ``` pip install cudf ```
gpustat (🥇31 · ⭐ 3.1K) - A simple command-line utility for querying and monitoring GPU status. MIT - [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 14 · 🔀 250 · 📦 2.3K · 📋 98 - 25% open · ⏱️ 13.09.2022): ``` git clone https://github.com/wookayin/gpustat ``` - [PyPi](https://pypi.org/project/gpustat) (📥 800K / month · 📦 120 · ⏱️ 05.07.2022): ``` pip install gpustat ``` - [Conda](https://anaconda.org/conda-forge/gpustat) (📥 140K · ⏱️ 24.11.2020): ``` conda install -c conda-forge gpustat ```
PyCUDA (🥇31 · ⭐ 1.4K) - CUDA integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pycuda) (👨‍💻 78 · 🔀 260 · 📦 1.5K · 📋 240 - 30% open · ⏱️ 27.09.2022): ``` git clone https://github.com/inducer/pycuda ``` - [PyPi](https://pypi.org/project/pycuda) (📥 34K / month · 📦 200 · ⏱️ 24.06.2022): ``` pip install pycuda ``` - [Conda](https://anaconda.org/conda-forge/pycuda) (📥 120K · ⏱️ 11.09.2022): ``` conda install -c conda-forge pycuda ```
ArrayFire (🥈29 · ⭐ 3.9K) - ArrayFire: a general purpose GPU library. BSD-3 - [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 83 · 🔀 490 · 📥 2.8K · 📋 1.5K - 16% open · ⏱️ 05.10.2022): ``` git clone https://github.com/arrayfire/arrayfire ``` - [PyPi](https://pypi.org/project/arrayfire) (📥 710 / month · 📦 5 · ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuML (🥈29 · ⭐ 3K) - cuML - RAPIDS Machine Learning Library. Apache-2 - [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 160 · 🔀 420 · 📋 2.1K - 33% open · ⏱️ 04.10.2022): ``` git clone https://github.com/rapidsai/cuml ``` - [PyPi](https://pypi.org/project/cuml) (📥 1K / month · 📦 4 · ⏱️ 01.06.2020): ``` pip install cuml ```
Apex (🥈27 · ⭐ 6.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 - [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 100 · 🔀 1K · 📦 1.2K · 📋 1.1K - 55% open · ⏱️ 02.10.2022): ``` git clone https://github.com/NVIDIA/apex ``` - [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 110K · ⏱️ 06.04.2022): ``` conda install -c conda-forge nvidia-apex ```
optimum (🥈26 · ⭐ 720) - Accelerate training and inference of Transformers with easy to use.. Apache-2 - [GitHub](https://github.com/huggingface/optimum) (👨‍💻 26 · 🔀 70 · 📦 33 · 📋 130 - 44% open · ⏱️ 05.10.2022): ``` git clone https://github.com/huggingface/optimum ``` - [PyPi](https://pypi.org/project/optimum) (📥 56K / month · 📦 3 · ⏱️ 13.06.2022): ``` pip install optimum ``` - [Conda](https://anaconda.org/conda-forge/optimum) (📥 4K · ⏱️ 12.07.2022): ``` conda install -c conda-forge optimum ```
cuGraph (🥉25 · ⭐ 1.1K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 - [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 90 · 🔀 220 · 📋 1.1K - 19% open · ⏱️ 06.10.2022): ``` git clone https://github.com/rapidsai/cugraph ``` - [PyPi](https://pypi.org/project/cugraph) (📥 93 / month · 📦 1 · ⏱️ 01.06.2020): ``` pip install cugraph ``` - [Conda](https://anaconda.org/conda-forge/libcugraph) (📥 10K · ⏱️ 29.04.2021): ``` conda install -c conda-forge libcugraph ```
DALI (🥉24 · ⭐ 4.1K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 - [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 78 · 🔀 530 · 📋 1.3K - 17% open · ⏱️ 06.10.2022): ``` git clone https://github.com/NVIDIA/DALI ```
scikit-cuda (🥉24 · ⭐ 920 · 💤) - Python interface to GPU-powered libraries. BSD-3 - [GitHub](https://github.com/lebedov/scikit-cuda) (👨‍💻 46 · 🔀 170 · 📦 200 · 📋 220 - 22% open · ⏱️ 31.03.2022): ``` git clone https://github.com/lebedov/scikit-cuda ``` - [PyPi](https://pypi.org/project/scikit-cuda) (📥 530 / month · 📦 44 · ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
Merlin (🥉23 · ⭐ 350) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 - [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨‍💻 25 · 🔀 57 · 📋 260 - 43% open · ⏱️ 03.10.2022): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` - [PyPi](https://pypi.org/project/merlin-core) (📥 5.8K / month · ⏱️ 14.06.2022): ``` pip install merlin-core ```
cuSignal (🥉19 · ⭐ 620) - GPU accelerated signal processing. Apache-2 - [GitHub](https://github.com/rapidsai/cusignal) (👨‍💻 39 · 🔀 98 · 📋 140 - 12% open · ⏱️ 06.09.2022): ``` git clone https://github.com/rapidsai/cusignal ```
Vulkan Kompute (🥉18 · ⭐ 960) - General purpose GPU compute framework built on Vulkan to.. Apache-2 - [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 20 · 🔀 66 · 📥 180 · 📦 4 · 📋 180 - 33% open · ⏱️ 11.09.2022): ``` git clone https://github.com/KomputeProject/kompute ``` - [PyPi](https://pypi.org/project/kp) (📥 120 / month · ⏱️ 13.04.2022): ``` pip install kp ```
Show 6 hidden projects... - GPUtil (🥉23 · ⭐ 910 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - BlazingSQL (🥉22 · ⭐ 1.8K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - py3nvml (🥉20 · ⭐ 210) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your.. BSD-3 - nvidia-ml-py3 (🥉20 · ⭐ 91 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - SpeedTorch (🥉15 · ⭐ 660 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - ipyexperiments (🥉15 · ⭐ 150 · 💤) - jupyter/ipython experiment containers for GPU and.. Apache-2

## Tensorflow Utilities Back to top _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (🥇36 · ⭐ 3.4K) - TFDS is a collection of datasets ready to use with.. Apache-2 - [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 270 · 🔀 1.3K · 📋 1.2K - 49% open · ⏱️ 06.10.2022): ``` git clone https://github.com/tensorflow/datasets ``` - [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.3M / month · 📦 170 · ⏱️ 02.06.2022): ``` pip install tensorflow-datasets ``` - [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 8.2K · ⏱️ 06.10.2022): ``` conda install -c conda-forge tensorflow-datasets ```
TF Addons (🥇36 · ⭐ 1.6K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 - [GitHub](https://github.com/tensorflow/addons) (👨‍💻 200 · 🔀 530 · 📦 7.5K · 📋 940 - 23% open · ⏱️ 04.10.2022): ``` git clone https://github.com/tensorflow/addons ``` - [PyPi](https://pypi.org/project/tensorflow-addons) (📥 1.8M / month · 📦 180 · ⏱️ 14.06.2022): ``` pip install tensorflow-addons ```
tensorflow-hub (🥈34 · ⭐ 3.2K) - A library for transfer learning by reusing parts of.. Apache-2 - [GitHub](https://github.com/tensorflow/hub) (👨‍💻 96 · 🔀 1.7K · 📦 13K · 📋 660 - 2% open · ⏱️ 05.10.2022): ``` git clone https://github.com/tensorflow/hub ``` - [PyPi](https://pypi.org/project/tensorflow-hub) (📥 3.2M / month · 📦 300 · ⏱️ 14.04.2021): ``` pip install tensorflow-hub ``` - [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 69K · ⏱️ 18.04.2021): ``` conda install -c conda-forge tensorflow-hub ```
tensor2tensor (🥈33 · ⭐ 13K) - Library of deep learning models and datasets designed to.. Apache-2 - [GitHub](https://github.com/tensorflow/tensor2tensor) (👨‍💻 240 · 🔀 3.1K · 📦 1.2K · 📋 1.3K - 46% open · ⏱️ 13.09.2022): ``` git clone https://github.com/tensorflow/tensor2tensor ``` - [PyPi](https://pypi.org/project/tensor2tensor) (📥 16K / month · 📦 93 · ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
TFX (🥈33 · ⭐ 1.8K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 - [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 150 · 🔀 620 · 📋 830 - 26% open · ⏱️ 06.10.2022): ``` git clone https://github.com/tensorflow/tfx ``` - [PyPi](https://pypi.org/project/tfx) (📥 420K / month · 📦 13 · ⏱️ 26.05.2022): ``` pip install tfx ```
TensorFlow Transform (🥈33 · ⭐ 940) - Input pipeline framework. Apache-2 - [GitHub](https://github.com/tensorflow/transform) (👨‍💻 27 · 🔀 200 · 📦 1K · 📋 190 - 19% open · ⏱️ 06.10.2022): ``` git clone https://github.com/tensorflow/transform ``` - [PyPi](https://pypi.org/project/tensorflow-transform) (📥 3.8M / month · 📦 56 · ⏱️ 29.06.2022): ``` pip install tensorflow-transform ```
TF Model Optimization (🥈32 · ⭐ 1.3K) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 73 · 🔀 290 · 📦 2.2K · 📋 340 - 53% open · ⏱️ 23.09.2022): ``` git clone https://github.com/tensorflow/model-optimization ``` - [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 170K / month · 📦 21 · ⏱️ 18.03.2022): ``` pip install tensorflow-model-optimization ```
Keras-Preprocessing (🥉29 · ⭐ 1K · 💤) - Utilities for working with image data, text data, and.. MIT - [GitHub](https://github.com/keras-team/keras-preprocessing) (👨‍💻 52 · 🔀 440 · 📋 200 - 47% open · ⏱️ 17.02.2022): ``` git clone https://github.com/keras-team/keras-preprocessing ``` - [PyPi](https://pypi.org/project/keras-preprocessing) (📥 9.5M / month · 📦 1.5K · ⏱️ 14.05.2020): ``` pip install keras-preprocessing ``` - [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (📥 1.5M · ⏱️ 15.01.2021): ``` conda install -c conda-forge keras-preprocessing ```
TensorFlow I/O (🥉29 · ⭐ 580) - Dataset, streaming, and file system extensions.. Apache-2 - [GitHub](https://github.com/tensorflow/io) (👨‍💻 94 · 🔀 230 · 📋 540 - 37% open · ⏱️ 07.09.2022): ``` git clone https://github.com/tensorflow/io ``` - [PyPi](https://pypi.org/project/tensorflow-io) (📥 510K / month · 📦 26 · ⏱️ 18.05.2022): ``` pip install tensorflow-io ```
Neural Structured Learning (🥉27 · ⭐ 930) - Training neural models with structured signals. Apache-2 - [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 36 · 🔀 180 · 📦 260 · 📋 68 - 4% open · ⏱️ 29.09.2022): ``` git clone https://github.com/tensorflow/neural-structured-learning ``` - [PyPi](https://pypi.org/project/neural-structured-learning) (📥 14K / month · 📦 3 · ⏱️ 18.08.2020): ``` pip install neural-structured-learning ```
TensorFlow Cloud (🥉24 · ⭐ 330) - The TensorFlow Cloud repository provides APIs that.. Apache-2 - [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 27 · 🔀 72 · 📦 180 · 📋 86 - 68% open · ⏱️ 20.09.2022): ``` git clone https://github.com/tensorflow/cloud ``` - [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 120K / month · 📦 1 · ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
TF Compression (🥉22 · ⭐ 670) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (👨‍💻 17 · 🔀 220 · 📋 87 - 2% open · ⏱️ 03.10.2022): ``` git clone https://github.com/tensorflow/compression ``` - [PyPi](https://pypi.org/project/tensorflow-compression) (📥 3.2K / month · 📦 1 · ⏱️ 30.05.2022): ``` pip install tensorflow-compression ```
Saliency (🥉21 · ⭐ 820) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 - [GitHub](https://github.com/PAIR-code/saliency) (👨‍💻 16 · 🔀 180 · 📦 42 · 📋 27 - 3% open · ⏱️ 13.05.2022): ``` git clone https://github.com/PAIR-code/saliency ``` - [PyPi](https://pypi.org/project/saliency) (📥 780 / month · 📦 3 · ⏱️ 14.06.2022): ``` pip install saliency ```
tffm (🥉20 · ⭐ 780 · 💤) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT - [GitHub](https://github.com/geffy/tffm) (👨‍💻 10 · 🔀 190 · 📦 11 · 📋 40 - 45% open · ⏱️ 17.01.2022): ``` git clone https://github.com/geffy/tffm ``` - [PyPi](https://pypi.org/project/tffm) (📥 1.6K / month · 📦 1 · ⏱️ 17.01.2022): ``` pip install tffm ```
Show 2 hidden projects... - efficientnet (🥉25 · ⭐ 2K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (🥉21 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. MIT

## Jax Utilities Back to top _Libraries that extend Jax with additional capabilities._
equinox (🥇24 · ⭐ 820) - Callable PyTrees and filtered transforms = neural networks in.. Apache-2 - [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 13 · 🔀 45 · 📦 51 · 📋 100 - 20% open · ⏱️ 22.09.2022): ``` git clone https://github.com/patrick-kidger/equinox ``` - [PyPi](https://pypi.org/project/equinox) (📥 3.6K / month · 📦 6 · ⏱️ 05.07.2022): ``` pip install equinox ```
evojax (🥉19 · ⭐ 560) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 - [GitHub](https://github.com/google/evojax) (👨‍💻 12 · 🔀 47 · 📦 1 · 📋 14 - 28% open · ⏱️ 05.10.2022): ``` git clone https://github.com/google/evojax ``` - [PyPi](https://pypi.org/project/evojax) (📥 830 / month · ⏱️ 15.06.2022): ``` pip install evojax ``` - [Conda](https://anaconda.org/conda-forge/evojax) (📥 8.9K · ⏱️ 05.10.2022): ``` conda install -c conda-forge evojax ```
Show 1 hidden projects... - jaxdf (🥉10 · ⭐ 58) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0

## Sklearn Utilities Back to top _Libraries that extend scikit-learn with additional capabilities._
MLxtend (🥇36 · ⭐ 4.1K) - A library of extension and helper modules for Pythons data.. BSD-3 - [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 90 · 🔀 770 · 📦 6.9K · 📋 440 - 28% open · ⏱️ 17.09.2022): ``` git clone https://github.com/rasbt/mlxtend ``` - [PyPi](https://pypi.org/project/mlxtend) (📥 1.7M / month · 📦 160 · ⏱️ 27.05.2022): ``` pip install mlxtend ``` - [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 230K · ⏱️ 17.09.2022): ``` conda install -c conda-forge mlxtend ```
imbalanced-learn (🥇34 · ⭐ 6.1K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 63 · 🔀 1.2K · 📦 13K · 📋 530 - 11% open · ⏱️ 16.05.2022): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` - [PyPi](https://pypi.org/project/imbalanced-learn) (📥 3.1M / month · 📦 270 · ⏱️ 16.05.2022): ``` pip install imbalanced-learn ``` - [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 270K · ⏱️ 16.05.2022): ``` conda install -c conda-forge imbalanced-learn ```
category_encoders (🥇34 · ⭐ 2K) - A library of sklearn compatible categorical variable.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 56 · 🔀 370 · 📦 4K · 📋 250 - 23% open · ⏱️ 06.10.2022): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` - [PyPi](https://pypi.org/project/category_encoders) (📥 830K / month · 📦 120 · ⏱️ 02.06.2022): ``` pip install category_encoders ``` - [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 190K · ⏱️ 06.10.2022): ``` conda install -c conda-forge category_encoders ```
scikit-learn-intelex (🥈30 · ⭐ 780) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 - [GitHub](https://github.com/intel/scikit-learn-intelex) (👨‍💻 57 · 🔀 130 · 📦 2.9K · 📋 200 - 53% open · ⏱️ 19.09.2022): ``` git clone https://github.com/intel/scikit-learn-intelex ``` - [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 62K / month · 📦 6 · ⏱️ 16.06.2022): ``` pip install scikit-learn-intelex ``` - [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (📥 77K · ⏱️ 20.09.2022): ``` conda install -c conda-forge scikit-learn-intelex ```
fancyimpute (🥈26 · ⭐ 1.1K · 💤) - Multivariate imputation and matrix completion.. Apache-2 - [GitHub](https://github.com/iskandr/fancyimpute) (👨‍💻 12 · 🔀 170 · 📦 1.2K · 📋 110 - 2% open · ⏱️ 21.10.2021): ``` git clone https://github.com/iskandr/fancyimpute ``` - [PyPi](https://pypi.org/project/fancyimpute) (📥 20K / month · 📦 29 · ⏱️ 21.10.2021): ``` pip install fancyimpute ```
scikit-lego (🥈25 · ⭐ 910) - Extra blocks for scikit-learn pipelines. MIT - [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 55 · 🔀 95 · 📦 65 · 📋 260 - 9% open · ⏱️ 06.10.2022): ``` git clone https://github.com/koaning/scikit-lego ``` - [PyPi](https://pypi.org/project/scikit-lego) (📥 22K / month · 📦 7 · ⏱️ 05.06.2022): ``` pip install scikit-lego ``` - [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 26K · ⏱️ 11.09.2022): ``` conda install -c conda-forge scikit-lego ```
scikit-multilearn (🥈25 · ⭐ 780) - A scikit-learn based module for multi-label et. al... BSD-2 - [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (👨‍💻 17 · 🔀 150 · 📦 850 · 📋 200 - 51% open · ⏱️ 09.07.2022): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` - [PyPi](https://pypi.org/project/scikit-multilearn) (📥 76K / month · 📦 18 · ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
scikit-opt (🥉22 · ⭐ 3.6K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (👨‍💻 16 · 🔀 810 · 📦 88 · 📋 160 - 30% open · ⏱️ 15.07.2022): ``` git clone https://github.com/guofei9987/scikit-opt ``` - [PyPi](https://pypi.org/project/scikit-opt) (📥 2.6K / month · 📦 6 · ⏱️ 14.01.2022): ``` pip install scikit-opt ```
sklearn-contrib-lightning (🥉22 · ⭐ 1.6K · 💤) - Large-scale linear classification, regression and.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/lightning) (👨‍💻 17 · 🔀 200 · 📥 240 · 📦 110 · 📋 93 - 54% open · ⏱️ 30.01.2022): ``` git clone https://github.com/scikit-learn-contrib/lightning ``` - [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (📥 2.2K / month · 📦 6 · ⏱️ 30.01.2022): ``` pip install sklearn-contrib-lightning ``` - [Conda](https://anaconda.org/conda-forge/sklearn-contrib-lightning) (📥 180K · ⏱️ 13.11.2021): ``` conda install -c conda-forge sklearn-contrib-lightning ```
combo (🥉21 · ⭐ 600) - (AAAI 20) A Python Toolbox for Machine Learning Model Combination. BSD-2 xgboost - [GitHub](https://github.com/yzhao062/combo) (👨‍💻 2 · 🔀 100 · 📦 480 · 📋 14 - 78% open · ⏱️ 07.07.2022): ``` git clone https://github.com/yzhao062/combo ``` - [PyPi](https://pypi.org/project/combo) (📥 43K / month · 📦 4 · ⏱️ 02.04.2022): ``` pip install combo ```
iterative-stratification (🥉20 · ⭐ 720) - scikit-learn cross validators for iterative.. BSD-3 - [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 7 · 🔀 64 · 📦 230 · 📋 23 - 17% open · ⏱️ 06.06.2022): ``` git clone https://github.com/trent-b/iterative-stratification ``` - [PyPi](https://pypi.org/project/iterative-stratification) (📥 41K / month · 📦 10 · ⏱️ 03.10.2021): ``` pip install iterative-stratification ```
DESlib (🥉19 · ⭐ 420) - A Python library for dynamic classifier and ensemble selection. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/DESlib) (👨‍💻 14 · 🔀 73 · 📦 31 · 📋 150 - 10% open · ⏱️ 07.06.2022): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` - [PyPi](https://pypi.org/project/deslib) (📥 2K / month · 📦 2 · ⏱️ 08.02.2021): ``` pip install deslib ```
scikit-tda (🥉17 · ⭐ 370 · 💤) - Topological Data Analysis for Python. MIT - [GitHub](https://github.com/scikit-tda/scikit-tda) (👨‍💻 4 · 🔀 45 · 📦 33 · 📋 19 - 78% open · ⏱️ 13.03.2022): ``` git clone https://github.com/scikit-tda/scikit-tda ``` - [PyPi](https://pypi.org/project/scikit-tda) (📥 1.5K / month · ⏱️ 03.08.2021): ``` pip install scikit-tda ```
Show 6 hidden projects... - scikit-survival (🥈28 · ⭐ 830) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - sklearn-crfsuite (🥈26 · ⭐ 410 · 💀) - scikit-learn inspired API for CRFsuite. MIT - skope-rules (🥉21 · ⭐ 480 · 💀) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (🥉20 · ⭐ 160) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - skggm (🥉17 · ⭐ 210 · 💤) - Scikit-learn compatible estimation of general graphical models. MIT - dabl (🥉16 · ⭐ 120 · 💀) - Data Analysis Baseline Library. BSD-3

## Pytorch Utilities Back to top _Libraries that extend Pytorch with additional capabilities._
accelerate (🥇34 · ⭐ 3K) - A simple way to train and use PyTorch models with multi-GPU,.. Apache-2 - [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 63 · 🔀 240 · 📦 1.1K · 📋 370 - 9% open · ⏱️ 05.10.2022): ``` git clone https://github.com/huggingface/accelerate ``` - [PyPi](https://pypi.org/project/accelerate) (📥 560K / month · 📦 23 · ⏱️ 15.06.2022): ``` pip install accelerate ``` - [Conda](https://anaconda.org/conda-forge/accelerate) (📥 8.2K · ⏱️ 05.08.2022): ``` conda install -c conda-forge accelerate ```
PML (🥇32 · ⭐ 4.8K) - The easiest way to use deep metric learning in your application. Modular,.. MIT - [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 29 · 🔀 580 · 📦 350 · 📋 390 - 13% open · ⏱️ 20.09.2022): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` - [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 85K / month · 📦 12 · ⏱️ 29.06.2022): ``` pip install pytorch-metric-learning ``` - [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 8.5K · ⏱️ 20.09.2022): ``` conda install -c metric-learning pytorch-metric-learning ```
torchdiffeq (🥇30 · ⭐ 4.2K) - Differentiable ODE solvers with full GPU support and.. MIT - [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 21 · 🔀 730 · 📦 340 · 📋 180 - 22% open · ⏱️ 10.08.2022): ``` git clone https://github.com/rtqichen/torchdiffeq ``` - [PyPi](https://pypi.org/project/torchdiffeq) (📥 440K / month · 📦 20 · ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` - [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 7.5K · ⏱️ 03.06.2021): ``` conda install -c conda-forge torchdiffeq ```
lightning-flash (🥈29 · ⭐ 1.6K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - [GitHub](https://github.com/Lightning-AI/lightning-flash) (👨‍💻 78 · 🔀 180 · 📦 120 · 📋 490 - 4% open · ⏱️ 01.10.2022): ``` git clone https://github.com/Lightning-AI/lightning-flash ``` - [PyPi](https://pypi.org/project/lightning-flash) (📥 5.3K / month · 📦 3 · ⏱️ 11.05.2022): ``` pip install lightning-flash ``` - [Conda](https://anaconda.org/conda-forge/lightning-flash) (📥 6.8K · ⏱️ 12.05.2022): ``` conda install -c conda-forge lightning-flash ```
pytorch-optimizer (🥈27 · ⭐ 2.6K · 💤) - torch-optimizer -- collection of optimizers for.. Apache-2 - [GitHub](https://github.com/jettify/pytorch-optimizer) (👨‍💻 25 · 🔀 240 · 📦 700 · 📋 50 - 42% open · ⏱️ 11.11.2021): ``` git clone https://github.com/jettify/pytorch-optimizer ``` - [PyPi](https://pypi.org/project/torch_optimizer) (📥 44K / month · 📦 23 · ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` - [Conda](https://anaconda.org/conda-forge/torch-optimizer) (📥 5K · ⏱️ 31.10.2021): ``` conda install -c conda-forge torch-optimizer ```
PyTorch Sparse (🥈26 · ⭐ 720) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 33 · 🔀 110 · 📋 210 - 14% open · ⏱️ 19.09.2022): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` - [PyPi](https://pypi.org/project/torch-sparse) (📥 27K / month · 📦 47 · ⏱️ 30.06.2022): ``` pip install torch-sparse ``` - [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 130K · ⏱️ 23.08.2022): ``` conda install -c conda-forge pytorch_sparse ```
torch-scatter (🥈25 · ⭐ 1.1K) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 23 · 🔀 130 · 📋 290 - 9% open · ⏱️ 03.10.2022): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` - [PyPi](https://pypi.org/project/torch-scatter) (📥 35K / month · 📦 53 · ⏱️ 22.10.2021): ``` pip install torch-scatter ``` - [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 120K · ⏱️ 28.07.2022): ``` conda install -c conda-forge pytorch_scatter ```
TabNet (🥈24 · ⭐ 1.9K) - PyTorch implementation of TabNet paper :.. MIT - [GitHub](https://github.com/dreamquark-ai/tabnet) (👨‍💻 19 · 🔀 380 · 📋 270 - 15% open · ⏱️ 27.06.2022): ``` git clone https://github.com/dreamquark-ai/tabnet ``` - [PyPi](https://pypi.org/project/pytorch-tabnet) (📥 19K / month · 📦 9 · ⏱️ 02.02.2021): ``` pip install pytorch-tabnet ``` - [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (📥 2.1K · ⏱️ 30.12.2021): ``` conda install -c conda-forge pytorch-tabnet ```
Pytorch Toolbelt (🥈23 · ⭐ 1.3K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT - [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 7 · 🔀 110 · 📋 25 - 12% open · ⏱️ 13.09.2022): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` - [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 11K / month · 📦 6 · ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ```
tinygrad (🥉22 · ⭐ 6.9K) - You like pytorch? You like micrograd? You love tinygrad!. MIT - [GitHub](https://github.com/geohot/tinygrad) (👨‍💻 67 · 🔀 700 · 📦 3 · 📋 120 - 13% open · ⏱️ 05.10.2022): ``` git clone https://github.com/geohot/tinygrad ```
Higher (🥉22 · ⭐ 1.4K · 💤) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - [GitHub](https://github.com/facebookresearch/higher) (👨‍💻 9 · 🔀 100 · 📦 170 · 📋 100 - 52% open · ⏱️ 26.10.2021): ``` git clone https://github.com/facebookresearch/higher ``` - [PyPi](https://pypi.org/project/higher) (📥 22K / month · 📦 4 · ⏱️ 14.07.2020): ``` pip install higher ```
reformer-pytorch (🥉20 · ⭐ 1.8K) - Reformer, the efficient Transformer, in Pytorch. MIT - [GitHub](https://github.com/lucidrains/reformer-pytorch) (👨‍💻 11 · 🔀 240 · 📋 120 - 11% open · ⏱️ 24.06.2022): ``` git clone https://github.com/lucidrains/reformer-pytorch ``` - [PyPi](https://pypi.org/project/reformer-pytorch) (📥 1.3K / month · ⏱️ 06.11.2021): ``` pip install reformer-pytorch ```
Performer Pytorch (🥉20 · ⭐ 870 · 💤) - An implementation of Performer, a linear attention-.. MIT - [GitHub](https://github.com/lucidrains/performer-pytorch) (👨‍💻 6 · 🔀 130 · 📦 53 · 📋 79 - 45% open · ⏱️ 02.02.2022): ``` git clone https://github.com/lucidrains/performer-pytorch ``` - [PyPi](https://pypi.org/project/performer-pytorch) (📥 11K / month · 📦 4 · ⏱️ 02.02.2022): ``` pip install performer-pytorch ```
Torch-Struct (🥉19 · ⭐ 1K · 💤) - Fast, general, and tested differentiable structured.. MIT - [GitHub](https://github.com/harvardnlp/pytorch-struct) (👨‍💻 16 · 🔀 84 · 📋 54 - 44% open · ⏱️ 30.01.2022): ``` git clone https://github.com/harvardnlp/pytorch-struct ``` - [PyPi](https://pypi.org/project/torch-struct) (📥 70K / month · ⏱️ 14.02.2021): ``` pip install torch-struct ```
Tez (🥉18 · ⭐ 1.1K) - Tez is a super-simple and lightweight Trainer for PyTorch. It also.. Apache-2 - [GitHub](https://github.com/abhishekkrthakur/tez) (👨‍💻 2 · 🔀 140 · 📦 34 · 📋 39 - 56% open · ⏱️ 16.09.2022): ``` git clone https://github.com/abhishekkrthakur/tez ``` - [PyPi](https://pypi.org/project/tez) (📥 1.1K / month · 📦 2 · ⏱️ 05.06.2022): ``` pip install tez ```
Tensor Sensor (🥉16 · ⭐ 660) - The goal of this library is to generate more helpful.. MIT - [GitHub](https://github.com/parrt/tensor-sensor) (👨‍💻 4 · 🔀 34 · 📦 7 · 📋 23 - 34% open · ⏱️ 07.04.2022): ``` git clone https://github.com/parrt/tensor-sensor ``` - [PyPi](https://pypi.org/project/tensor-sensor) (📥 1.9K / month · ⏱️ 11.12.2021): ``` pip install tensor-sensor ``` - [Conda](https://anaconda.org/conda-forge/tensor-sensor) (📥 1.3K · ⏱️ 11.12.2021): ``` conda install -c conda-forge tensor-sensor ```
madgrad (🥉15 · ⭐ 770 · 💤) - MADGRAD Optimization Method. MIT - [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 2 · 🔀 55 · 📦 32 · 📋 8 - 12% open · ⏱️ 10.03.2022): ``` git clone https://github.com/facebookresearch/madgrad ``` - [PyPi](https://pypi.org/project/madgrad) (📥 6.9K / month · ⏱️ 08.03.2022): ``` pip install madgrad ```
Pywick (🥉15 · ⭐ 380 · 💤) - High-level batteries-included neural network training library for.. MIT - [GitHub](https://github.com/achaiah/pywick) (👨‍💻 4 · 🔀 39 · 📦 7 · 📋 15 - 13% open · ⏱️ 22.10.2021): ``` git clone https://github.com/achaiah/pywick ``` - [PyPi](https://pypi.org/project/pywick) (📥 34 / month · ⏱️ 22.10.2021): ``` pip install pywick ```
Show 14 hidden projects... - pretrainedmodels (🥇31 · ⭐ 8.6K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (🥈28 · ⭐ 3.7K · 💀) - Model summary in PyTorch similar to `model.summary()`.. MIT - EfficientNet-PyTorch (🥈26 · ⭐ 7.2K · 💀) - A PyTorch implementation of EfficientNet and.. Apache-2 - SRU (🥈23 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Torchmeta (🥈23 · ⭐ 1.7K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT - EfficientNets (🥈23 · ⭐ 1.5K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - torchsde (🥉21 · ⭐ 1.1K · 💀) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - Poutyne (🥉21 · ⭐ 530) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - AdaBound (🥉20 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - Antialiased CNNs (🥉20 · ⭐ 1.6K · 💀) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - pytorchviz (🥉18 · ⭐ 2.4K · 💀) - A small package to create visualizations of PyTorch execution.. MIT - micrograd (🥉17 · ⭐ 2.8K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. MIT - Lambda Networks (🥉17 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. MIT - TorchDrift (🥉15 · ⭐ 250) - Drift Detection for your PyTorch Models. Apache-2

## Database Clients Back to top _Libraries for connecting to, operating, and querying databases._ 🔗 best-of-python - DB Clients ( ⭐ 2.5K) - Collection of database clients for python.
## Others Back to top
scipy (🥇49 · ⭐ 10K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 - [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.4K · 🔀 4.4K · 📥 360K · 📦 570K · 📋 8.8K - 19% open · ⏱️ 05.10.2022): ``` git clone https://github.com/scipy/scipy ``` - [PyPi](https://pypi.org/project/scipy) (📥 46M / month · 📦 58K · ⏱️ 05.07.2022): ``` pip install scipy ``` - [Conda](https://anaconda.org/conda-forge/scipy) (📥 28M · ⏱️ 30.08.2022): ``` conda install -c conda-forge scipy ```
SymPy (🥇46 · ⭐ 9.7K) - A computer algebra system written in pure Python. BSD-3 - [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.2K · 🔀 3.7K · 📥 470K · 📦 47K · 📋 13K - 35% open · ⏱️ 06.10.2022): ``` git clone https://github.com/sympy/sympy ``` - [PyPi](https://pypi.org/project/sympy) (📥 2.8M / month · 📦 4.2K · ⏱️ 20.03.2022): ``` pip install sympy ``` - [Conda](https://anaconda.org/conda-forge/sympy) (📥 2.5M · ⏱️ 30.09.2022): ``` conda install -c conda-forge sympy ```
Streamlit (🥇40 · ⭐ 21K) - Streamlit The fastest way to build data apps in Python. Apache-2 - [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 150 · 🔀 1.9K · 📦 420 · 📋 2.7K - 19% open · ⏱️ 05.10.2022): ``` git clone https://github.com/streamlit/streamlit ``` - [PyPi](https://pypi.org/project/streamlit) (📥 920K / month · 📦 420 · ⏱️ 27.07.2022): ``` pip install streamlit ```
PaddleHub (🥇36 · ⭐ 9.7K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 65 · 🔀 1.8K · 📥 580 · 📦 940 · 📋 1.2K - 44% open · ⏱️ 23.09.2022): ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` - [PyPi](https://pypi.org/project/paddlehub) (📥 14K / month · 📦 6 · ⏱️ 28.12.2021): ``` pip install paddlehub ```
PyOD (🥇35 · ⭐ 6.2K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 43 · 🔀 1.2K · 📦 1.6K · 📋 270 - 50% open · ⏱️ 15.09.2022): ``` git clone https://github.com/yzhao062/pyod ``` - [PyPi](https://pypi.org/project/pyod) (📥 490K / month · 📦 34 · ⏱️ 05.07.2022): ``` pip install pyod ``` - [Conda](https://anaconda.org/conda-forge/pyod) (📥 40K · ⏱️ 15.09.2022): ``` conda install -c conda-forge pyod ```
Gradio (🥇34 · ⭐ 9.6K) - Wrap UIs around any model, share with anyone. Apache-2 - [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 100 · 🔀 600 · 📋 1.2K - 18% open · ⏱️ 06.10.2022): ``` git clone https://github.com/gradio-app/gradio ``` - [PyPi](https://pypi.org/project/gradio) (📥 700K / month · 📦 22 · ⏱️ 04.07.2022): ``` pip install gradio ```
DeepChem (🥇34 · ⭐ 3.9K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT - [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 200 · 🔀 1.4K · 📦 120 · 📋 1.5K - 32% open · ⏱️ 04.10.2022): ``` git clone https://github.com/deepchem/deepchem ``` - [PyPi](https://pypi.org/project/deepchem) (📥 10K / month · 📦 6 · ⏱️ 06.07.2022): ``` pip install deepchem ``` - [Conda](https://anaconda.org/conda-forge/deepchem) (📥 50K · ⏱️ 19.01.2022): ``` conda install -c conda-forge deepchem ```
carla (🥈33 · ⭐ 8.3K · 💤) - Open-source simulator for autonomous driving research. MIT - [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 140 · 🔀 2.5K · 📦 260 · 📋 4.1K - 17% open · ⏱️ 19.11.2021): ``` git clone https://github.com/carla-simulator/carla ``` - [PyPi](https://pypi.org/project/carla) (📥 20K / month · 📦 3 · ⏱️ 17.11.2021): ``` pip install carla ```
Datasette (🥈33 · ⭐ 6.5K) - An open source multi-tool for exploring and publishing data. Apache-2 - [GitHub](https://github.com/simonw/datasette) (👨‍💻 69 · 🔀 450 · 📥 39 · 📦 760 · 📋 1.4K - 28% open · ⏱️ 05.10.2022): ``` git clone https://github.com/simonw/datasette ``` - [PyPi](https://pypi.org/project/datasette) (📥 230K / month · 📦 160 · ⏱️ 02.05.2022): ``` pip install datasette ``` - [Conda](https://anaconda.org/conda-forge/datasette) (📥 11K · ⏱️ 16.08.2022): ``` conda install -c conda-forge datasette ```
Autograd (🥈33 · ⭐ 6K) - Efficiently computes derivatives of numpy code. MIT - [GitHub](https://github.com/HIPS/autograd) (👨‍💻 52 · 🔀 830 · 📦 4K · 📋 390 - 42% open · ⏱️ 29.09.2022): ``` git clone https://github.com/HIPS/autograd ``` - [PyPi](https://pypi.org/project/autograd) (📥 1.1M / month · 📦 290 · ⏱️ 08.04.2022): ``` pip install autograd ``` - [Conda](https://anaconda.org/conda-forge/autograd) (📥 240K · ⏱️ 03.10.2022): ``` conda install -c conda-forge autograd ```
Pythran (🥈33 · ⭐ 1.8K) - Ahead of Time compiler for numeric kernels. BSD-3 - [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 66 · 🔀 180 · 📦 260 · 📋 780 - 15% open · ⏱️ 28.09.2022): ``` git clone https://github.com/serge-sans-paille/pythran ``` - [PyPi](https://pypi.org/project/pythran) (📥 480K / month · 📦 17 · ⏱️ 14.12.2021): ``` pip install pythran ``` - [Conda](https://anaconda.org/conda-forge/pythran) (📥 280K · ⏱️ 28.09.2022): ``` conda install -c conda-forge pythran ```
pyopencl (🥈32 · ⭐ 920) - OpenCL integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pyopencl) (👨‍💻 92 · 🔀 230 · 📦 820 · 📋 320 - 21% open · ⏱️ 05.10.2022): ``` git clone https://github.com/inducer/pyopencl ``` - [PyPi](https://pypi.org/project/pyopencl) (📥 36K / month · 📦 190 · ⏱️ 22.06.2022): ``` pip install pyopencl ``` - [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 700K · ⏱️ 12.09.2022): ``` conda install -c conda-forge pyopencl ```
datalad (🥈32 · ⭐ 350) - Keep code, data, containers under control with git and git-annex. MIT - [GitHub](https://github.com/datalad/datalad) (👨‍💻 50 · 🔀 94 · 📋 3.7K - 15% open · ⏱️ 28.09.2022): ``` git clone https://github.com/datalad/datalad ``` - [PyPi](https://pypi.org/project/datalad) (📥 11K / month · 📦 57 · ⏱️ 06.07.2022): ``` pip install datalad ``` - [Conda](https://anaconda.org/conda-forge/datalad) (📥 260K · ⏱️ 05.10.2022): ``` conda install -c conda-forge datalad ```
River (🥈31 · ⭐ 3.7K) - Online machine learning in Python. BSD-3 - [GitHub](https://github.com/online-ml/river) (👨‍💻 84 · 🔀 410 · 📦 170 · ⏱️ 06.10.2022): ``` git clone https://github.com/online-ml/river ``` - [PyPi](https://pypi.org/project/river) (📥 11K / month · 📦 14 · ⏱️ 06.06.2022): ``` pip install river ``` - [Conda](https://anaconda.org/conda-forge/river) (📥 14K · ⏱️ 04.10.2022): ``` conda install -c conda-forge river ```
hdbscan (🥈31 · ⭐ 2.3K) - A high performance implementation of HDBSCAN clustering. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 80 · 🔀 420 · 📦 1.6K · 📋 460 - 65% open · ⏱️ 16.09.2022): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` - [PyPi](https://pypi.org/project/hdbscan) (📥 460K / month · 📦 160 · ⏱️ 08.02.2022): ``` pip install hdbscan ``` - [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 1.3M · ⏱️ 11.02.2022): ``` conda install -c conda-forge hdbscan ```
tensorly (🥈31 · ⭐ 1.3K) - TensorLy: Tensor Learning in Python. BSD-2 - [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 56 · 🔀 250 · 📦 300 · 📋 210 - 25% open · ⏱️ 25.09.2022): ``` git clone https://github.com/tensorly/tensorly ``` - [PyPi](https://pypi.org/project/tensorly) (📥 5.6K / month · 📦 30 · ⏱️ 08.11.2021): ``` pip install tensorly ``` - [Conda](https://anaconda.org/conda-forge/tensorly) (📥 300K · ⏱️ 09.12.2021): ``` conda install -c conda-forge tensorly ```
adapter-transformers (🥈31 · ⭐ 1K) - Huggingface Transformers + Adapters =. Apache-2 huggingface - [GitHub](https://github.com/adapter-hub/adapter-transformers) (👨‍💻 1.4K · 🔀 170 · 📦 90 · 📋 230 - 24% open · ⏱️ 06.10.2022): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` - [PyPi](https://pypi.org/project/adapter-transformers) (📥 40K / month · 📦 5 · ⏱️ 18.05.2022): ``` pip install adapter-transformers ```
pysc2 (🥈30 · ⭐ 7.6K) - StarCraft II Learning Environment. Apache-2 - [GitHub](https://github.com/deepmind/pysc2) (👨‍💻 36 · 🔀 1.1K · 📥 29K · 📦 430 · 📋 280 - 18% open · ⏱️ 07.08.2022): ``` git clone https://github.com/deepmind/pysc2 ``` - [PyPi](https://pypi.org/project/pysc2) (📥 3.3K / month · 📦 26 · ⏱️ 27.09.2019): ``` pip install pysc2 ```
causalml (🥈30 · ⭐ 3.5K) - Uplift modeling and causal inference with machine learning.. Apache-2 - [GitHub](https://github.com/uber/causalml) (👨‍💻 46 · 🔀 540 · 📦 53 · 📋 290 - 20% open · ⏱️ 20.09.2022): ``` git clone https://github.com/uber/causalml ``` - [PyPi](https://pypi.org/project/causalml) (📥 64K / month · 📦 1 · ⏱️ 14.03.2022): ``` pip install causalml ```
PennyLane (🥈30 · ⭐ 1.5K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 - [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 120 · 🔀 400 · 📥 62 · 📋 850 - 29% open · ⏱️ 06.10.2022): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` - [PyPi](https://pypi.org/project/pennylane) (📥 19K / month · 📦 34 · ⏱️ 20.06.2022): ``` pip install pennylane ``` - [Conda](https://anaconda.org/conda-forge/pennylane) (📥 5.1K · ⏱️ 01.05.2022): ``` conda install -c conda-forge pennylane ```
alibi-detect (🥈29 · ⭐ 1.5K) - Algorithms for outlier, adversarial and drift detection. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi-detect) (👨‍💻 16 · 🔀 160 · 📦 120 · 📋 280 - 34% open · ⏱️ 03.10.2022): ``` git clone https://github.com/SeldonIO/alibi-detect ``` - [PyPi](https://pypi.org/project/alibi-detect) (📥 24K / month · 📦 5 · ⏱️ 01.06.2022): ``` pip install alibi-detect ```
kmodes (🥈29 · ⭐ 1.1K) - Python implementations of the k-modes and k-prototypes clustering.. MIT - [GitHub](https://github.com/nicodv/kmodes) (👨‍💻 21 · 🔀 380 · 📦 1.5K · 📋 150 - 11% open · ⏱️ 06.09.2022): ``` git clone https://github.com/nicodv/kmodes ``` - [PyPi](https://pypi.org/project/kmodes) (📥 430K / month · 📦 26 · ⏱️ 14.04.2022): ``` pip install kmodes ``` - [Conda](https://anaconda.org/conda-forge/kmodes) (📥 17K · ⏱️ 06.09.2022): ``` conda install -c conda-forge kmodes ```
pyjanitor (🥈29 · ⭐ 990) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT - [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 100 · 🔀 150 · 📦 230 · 📋 500 - 21% open · ⏱️ 24.09.2022): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` - [PyPi](https://pypi.org/project/pyjanitor) (📥 33K / month · 📦 11 · ⏱️ 03.05.2022): ``` pip install pyjanitor ``` - [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 140K · ⏱️ 22.11.2021): ``` conda install -c conda-forge pyjanitor ```
Mars (🥉27 · ⭐ 2.5K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 - [GitHub](https://github.com/mars-project/mars) (👨‍💻 45 · 🔀 310 · 📋 1.1K - 18% open · ⏱️ 19.09.2022): ``` git clone https://github.com/mars-project/mars ``` - [PyPi](https://pypi.org/project/pymars) (📥 24K / month · 📦 1 · ⏱️ 12.06.2022): ``` pip install pymars ```
TabPy (🥉27 · ⭐ 1.3K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT - [GitHub](https://github.com/tableau/TabPy) (👨‍💻 46 · 🔀 490 · 📦 96 · 📋 300 - 3% open · ⏱️ 10.06.2022): ``` git clone https://github.com/tableau/TabPy ``` - [PyPi](https://pypi.org/project/tabpy) (📥 21K / month · 📦 2 · ⏱️ 20.01.2022): ``` pip install tabpy ``` - [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 3.3K · ⏱️ 02.05.2022): ``` conda install -c anaconda tabpy-client ```
pycm (🥉27 · ⭐ 1.3K) - Multi-class confusion matrix library in Python. MIT - [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 17 · 🔀 110 · 📦 170 · 📋 190 - 5% open · ⏱️ 17.08.2022): ``` git clone https://github.com/sepandhaghighi/pycm ``` - [PyPi](https://pypi.org/project/pycm) (📥 35K / month · 📦 13 · ⏱️ 27.04.2022): ``` pip install pycm ```
metric-learn (🥉27 · ⭐ 1.3K) - Metric learning algorithms in Python. MIT - [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨‍💻 22 · 🔀 220 · 📦 240 · 📋 170 - 30% open · ⏱️ 21.06.2022): ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` - [PyPi](https://pypi.org/project/metric-learn) (📥 43K / month · 📦 11 · ⏱️ 02.07.2020): ``` pip install metric-learn ``` - [Conda](https://anaconda.org/conda-forge/metric-learn) (📥 7.2K · ⏱️ 02.07.2020): ``` conda install -c conda-forge metric-learn ```
Trax (🥉26 · ⭐ 7.1K) - Trax Deep Learning with Clear Code and Speed. Apache-2 - [GitHub](https://github.com/google/trax) (👨‍💻 78 · 🔀 730 · 📦 82 · 📋 210 - 42% open · ⏱️ 09.09.2022): ``` git clone https://github.com/google/trax ``` - [PyPi](https://pypi.org/project/trax) (📥 4.4K / month · ⏱️ 26.10.2021): ``` pip install trax ```
AugLy (🥉26 · ⭐ 4.6K) - A data augmentations library for audio, image, text, and video. MIT - [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 26 · 🔀 260 · 📦 46 · 📋 70 - 22% open · ⏱️ 21.09.2022): ``` git clone https://github.com/facebookresearch/AugLy ``` - [PyPi](https://pypi.org/project/augly) (📥 1.7K / month · 📦 3 · ⏱️ 28.03.2022): ``` pip install augly ```
gplearn (🥉26 · ⭐ 1.2K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - [GitHub](https://github.com/trevorstephens/gplearn) (👨‍💻 11 · 🔀 210 · 📦 290 · 📋 200 - 8% open · ⏱️ 04.08.2022): ``` git clone https://github.com/trevorstephens/gplearn ``` - [PyPi](https://pypi.org/project/gplearn) (📥 4.7K / month · 📦 11 · ⏱️ 03.05.2022): ``` pip install gplearn ``` - [Conda](https://anaconda.org/conda-forge/gplearn) (📥 3.5K · ⏱️ 04.05.2022): ``` conda install -c conda-forge gplearn ```
avalanche (🥉26 · ⭐ 1.1K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT - [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 58 · 🔀 180 · 📥 3 · 📦 11 · 📋 560 - 12% open · ⏱️ 05.10.2022): ``` git clone https://github.com/ContinualAI/avalanche ``` - [PyPi](https://pypi.org/project/avalanche-lib) (📥 430 / month · ⏱️ 14.06.2022): ``` pip install avalanche-lib ```
PySwarms (🥉26 · ⭐ 980) - A research toolkit for particle swarm optimization in Python. MIT - [GitHub](https://github.com/ljvmiranda921/pyswarms) (👨‍💻 44 · 🔀 310 · 📦 190 · 📋 210 - 5% open · ⏱️ 03.07.2022): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` - [PyPi](https://pypi.org/project/pyswarms) (📥 7.8K / month · 📦 11 · ⏱️ 03.01.2021): ``` pip install pyswarms ```
anomalib (🥉25 · ⭐ 1.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 - [GitHub](https://github.com/openvinotoolkit/anomalib) (👨‍💻 23 · 🔀 200 · 📦 1 · 📋 300 - 16% open · ⏱️ 30.09.2022): ``` git clone https://github.com/openvinotoolkit/anomalib ``` - [PyPi](https://pypi.org/project/anomalib) (📥 2.5K / month · ⏱️ 05.07.2022): ``` pip install anomalib ```
Feature Engine (🥉24 · ⭐ 930) - Feature engineering package with sklearn like functionality. BSD-3 - [GitHub](https://github.com/solegalli/feature_engine) (👨‍💻 36 · 🔀 210 · ⏱️ 05.07.2022): ``` git clone https://github.com/solegalli/feature_engine ``` - [PyPi](https://pypi.org/project/feature_engine) (📥 110K / month · 📦 75 · ⏱️ 13.06.2022): ``` pip install feature_engine ``` - [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 17K · ⏱️ 14.06.2022): ``` conda install -c conda-forge feature_engine ```
Prince (🥉23 · ⭐ 880) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). MIT - [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 13 · 🔀 150 · 📦 250 · 📋 110 - 35% open · ⏱️ 07.09.2022): ``` git clone https://github.com/MaxHalford/prince ``` - [PyPi](https://pypi.org/project/prince) (📥 45K / month · 📦 5 · ⏱️ 06.10.2020): ``` pip install prince ``` - [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (📥 12K · ⏱️ 30.04.2021): ``` conda install -c conda-forge prince-factor-analysis ```
AstroML (🥉23 · ⭐ 850) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (👨‍💻 30 · 🔀 280 · 📋 160 - 39% open · ⏱️ 03.10.2022): ``` git clone https://github.com/astroML/astroML ``` - [PyPi](https://pypi.org/project/astroML) (📥 1.5K / month · 📦 33 · ⏱️ 01.03.2022): ``` pip install astroML ``` - [Conda](https://anaconda.org/conda-forge/astroml) (📥 33K · ⏱️ 02.03.2022): ``` conda install -c conda-forge astroml ```
findspark (🥉23 · ⭐ 450 · 💤) - Find pyspark to make it importable. BSD-3 - [GitHub](https://github.com/minrk/findspark) (👨‍💻 15 · 🔀 70 · 📦 2.8K · 📋 23 - 52% open · ⏱️ 11.02.2022): ``` git clone https://github.com/minrk/findspark ``` - [PyPi](https://pypi.org/project/findspark) (📥 2.3M / month · 📦 140 · ⏱️ 11.02.2022): ``` pip install findspark ``` - [Conda](https://anaconda.org/conda-forge/findspark) (📥 710K · ⏱️ 11.02.2022): ``` conda install -c conda-forge findspark ```
MONAILabel (🥉23 · ⭐ 310) - MONAI Label is an intelligent open source image labeling and.. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 35 · 🔀 96 · 📥 23K · 📋 300 - 16% open · ⏱️ 06.10.2022): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` - [PyPi](https://pypi.org/project/monailabel-weekly) (📥 920 / month · ⏱️ 03.07.2022): ``` pip install monailabel-weekly ```
BioPandas (🥉22 · ⭐ 520) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/rasbt/biopandas) (👨‍💻 10 · 🔀 100 · 📦 120 · 📋 50 - 42% open · ⏱️ 06.08.2022): ``` git clone https://github.com/rasbt/biopandas ``` - [PyPi](https://pypi.org/project/biopandas) (📥 5.9K / month · 📦 16 · ⏱️ 13.05.2022): ``` pip install biopandas ``` - [Conda](https://anaconda.org/conda-forge/biopandas) (📥 120K · ⏱️ 13.05.2022): ``` conda install -c conda-forge biopandas ```
pykale (🥉22 · ⭐ 360) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT - [GitHub](https://github.com/pykale/pykale) (👨‍💻 17 · 🔀 50 · 📋 93 - 6% open · ⏱️ 09.09.2022): ``` git clone https://github.com/pykale/pykale ``` - [PyPi](https://pypi.org/project/pykale) (📥 220 / month · ⏱️ 12.04.2022): ``` pip install pykale ```
StreamAlert (🥉21 · ⭐ 2.7K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2 - [GitHub](https://github.com/airbnb/streamalert) (👨‍💻 33 · 🔀 320 · 📋 340 - 24% open · ⏱️ 20.07.2022): ``` git clone https://github.com/airbnb/streamalert ```
impyute (🥉20 · ⭐ 330 · 💤) - Data imputations library to preprocess datasets with missing data. MIT - [GitHub](https://github.com/eltonlaw/impyute) (👨‍💻 11 · 🔀 46 · 📦 150 · 📋 64 - 42% open · ⏱️ 06.11.2021): ``` git clone https://github.com/eltonlaw/impyute ``` - [PyPi](https://pypi.org/project/impyute) (📥 6.5K / month · 📦 3 · ⏱️ 29.04.2019): ``` pip install impyute ```
benchmark_VAE (🥉19 · ⭐ 1K) - Unifying Generative Autoencoder implementations in Python. Apache-2 - [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨‍💻 4 · 🔀 76 · 📦 3 · 📋 22 - 18% open · ⏱️ 07.09.2022): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` - [PyPi](https://pypi.org/project/pythae) (📥 510 / month · ⏱️ 05.07.2022): ``` pip install pythae ```
SUOD (🥉19 · ⭐ 340) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 2 · 🔀 41 · 📦 440 · 📋 9 - 66% open · ⏱️ 07.07.2022): ``` git clone https://github.com/yzhao062/SUOD ``` - [PyPi](https://pypi.org/project/suod) (📥 35K / month · ⏱️ 01.10.2021): ``` pip install suod ```
apricot (🥉17 · ⭐ 450 · 💤) - apricot implements submodular optimization for the purpose of.. MIT - [GitHub](https://github.com/jmschrei/apricot) (👨‍💻 4 · 🔀 42 · 📥 19 · 📦 30 · 📋 26 - 30% open · ⏱️ 18.11.2021): ``` git clone https://github.com/jmschrei/apricot ``` - [PyPi](https://pypi.org/project/apricot-select) (📥 410 / month · 📦 3 · ⏱️ 28.09.2020): ``` pip install apricot-select ```
KD-Lib (🥉17 · ⭐ 430) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - [GitHub](https://github.com/SforAiDl/KD_Lib) (👨‍💻 6 · 🔀 39 · 📋 59 - 22% open · ⏱️ 01.10.2022): ``` git clone https://github.com/SforAiDl/KD_Lib ``` - [PyPi](https://pypi.org/project/KD-Lib) (📥 84 / month · ⏱️ 18.05.2022): ``` pip install KD-Lib ```
traingenerator (🥉13 · ⭐ 1.2K) - A web app to generate template code for machine learning. MIT - [GitHub](https://github.com/jrieke/traingenerator) (👨‍💻 3 · 🔀 170 · 📋 16 - 81% open · ⏱️ 30.06.2022): ``` git clone https://github.com/jrieke/traingenerator ```
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--- ## Related Resources - [**Papers With Code**](https://paperswithcode.com): Discover ML papers, code, and evaluation tables. - [**Sotabench**](https://sotabench.com): Discover & compare open-source ML models. - [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Dataset search engine by Google. - [**Dataset List**](https://www.datasetlist.com/): List of the biggest ML datasets from across the web. - [**Awesome Public Datasets**](https://github.com/awesomedata/awesome-public-datasets): A topic-centric list of open datasets. - [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics. - [**best-of-python-dev**](https://github.com/ml-tooling/best-of-python-dev): A ranked list of awesome python developer tools and libraries. - [**best-of-web-python**](https://github.com/ml-tooling/best-of-web-python): A ranked list of awesome python libraries for web development. ## Contribution Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways: - Open an issue by selecting one of the provided categories from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information. - Modify the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). If you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md). For more information on how to add or update projects, please read the [contribution guidelines](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/ml-tooling/best-of-ml-python/blob/main/.github/CODE_OF_CONDUCT.md). ## License [![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/by-sa.svg)](https://creativecommons.org/licenses/by-sa/4.0/)