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天堂的烟斗 / vbpp

Variational Bayes for Point Processes: implementation of Lloyd et al. (2015) on top of GPflow

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天堂的烟斗 / schedulefree-mp

Schedule-free variational message passing for approximate Bayesian inference on factor graphs

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天堂的烟斗 / Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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天堂的烟斗 / Variational-Inference-for-SGP-Modulated-Hawkes-Process

This repo contains a demo for the AAAI-20 publication "Variational Inference for Sparse Gaussian Process Modulated Hawkes Process"

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天堂的烟斗 / MMHP

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天堂的烟斗 / PRML

PRML algorithms implemented in Python

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天堂的烟斗 / tutorials

机器学习相关教程

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天堂的烟斗 / vae

a simple vae and cvae from keras

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天堂的烟斗 / spinningup

An educational resource to help anyone learn deep reinforcement learning.

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天堂的烟斗 / pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

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天堂的烟斗 / berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

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天堂的烟斗 / tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

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天堂的烟斗 / d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

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天堂的烟斗 / Deep-Learning-with-PyTorch-Chinese

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

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天堂的烟斗 / PyTorch-Tutorial

Build your neural network easy and fast

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天堂的烟斗 / var-hawkes

Learning Hawkes Processes from a Handful of Events

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天堂的烟斗 / machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

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天堂的烟斗 / Python

All Algorithms implemented in Python

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天堂的烟斗 / examples

TensorFlow examples

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天堂的烟斗 / Deep-Learning-with-TensorFlow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.