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天堂的烟斗 / tpprl

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

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天堂的烟斗 / learn_dl

Deep learning algorithms source code for beginners

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天堂的烟斗 / graphnn

Training computational graph on top of structured data (string, graph, etc)

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天堂的烟斗 / NeuralPointProcess

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天堂的烟斗 / SinkhornAutoDiff

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

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天堂的烟斗 / Wasserstein-Learning-For-Point-Process

learning point processes by means of optimal transport and wasserstein distance

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天堂的烟斗 / wassdistance

Approximating Wasserstein distances with PyTorch

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天堂的烟斗 / optimal-transport

A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.

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天堂的烟斗 / POT

Python Optimal Transport library

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天堂的烟斗 / Speech-signal-processing

语音信号处理的基本知识

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天堂的烟斗 / rpcaADMM

Robust Principal Component Analysis via ADMM in Python

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天堂的烟斗 / UCR_Time_Series_Classification_Deep_Learning_Baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

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天堂的烟斗 / python_keylogger

Save and analyze keystrokes locally. Mainly based on moses-palmer/pynput. Only tested on a macbook and python3.

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天堂的烟斗 / VAE-TensorFlow

Implementation of a Variational Auto-Encoder in TensorFlow

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天堂的烟斗 / neurawkes

Source code of The Neural Hawkes Process (NIPS 2017)

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天堂的烟斗 / aiopstools

The fundamental package for AIops with python.

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天堂的烟斗 / tsne_raw

Implementation of Symmetric SNE and t-SNE in numpy and python

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天堂的烟斗 / xai

XAI - An eXplainability toolbox for machine learning

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天堂的烟斗 / USTC-Course

:heart:中国科学技术大学课程资源

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天堂的烟斗 / LargeVis