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This list is continuously updated. - You can take pull requests and contribute. All Links are tested and working fine.

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

深度学习入门教程, 优秀文章, Deep Learning Tutorial

These notebooks cover an introduction to deep learning, fastai, and PyTorch. fastai is a layered API for deep learning; for more information, see the fastai paper. Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.

A curated list of awesome Deep Learning tutorials, projects and communities.

machine learning and deep learning tutorials, articles and other resources

This repository provides tutorial code for deep learning researchers to learn PyTorch. In the tutorial, most of the models were implemented with less than 30 lines of code. Before starting this tutorial, it is recommended to finish Official Pytorch Tutorial.

7. 10 here. I will not be updating the current repository for Python 3 compatibility.

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

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。

This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pull request to contribute to this list.

100-Days-Of-ML-Code中文版

We recommend running these notebooks on Colab, which provides a hosted runtime with all the dependencies you will need. You can also, run these notebooks locally, either by setting up your own Jupyter environment, or using Colab's instructions for running locally.

This repository aims to provide simple and ready-to-use tutorials for TensorFlow. Each tutorial includes source code and most of them are associated with a documentation.

This is an advanced course on natural language processing. Automatically processing natural language inputs and producing language outputs is a key component of Artificial General Intelligence.

(this list is no longer maintained, and I am not sure how relevant it is in 2020)

★★★ NEW: StyleGAN2-ADA-PyTorch is now available; see the full list of versions here ★★★