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https://github.com/amusi/PyTorch-From-Zero-To-One

PyTorch从入门到精通
https://github.com/amusi/PyTorch-From-Zero-To-One

deep-learning pytorch pytorch-tutorials

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PyTorch从入门到精通

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# PyTorch-From-Zero-To-One

PyTorch 从入门到精通：含入门指南、在线教程、视频教程和书籍推荐等资源



> 注1：♥ 表示推荐指数，越多越好



> 注2：TensorFlow从入门到精通请参考：[TensorFlow-From-Zero-To-One](https://github.com/amusi/TensorFlow-From-Zero-To-One)



## 笔记



安装教程



- [Ubuntu](examples/Python1.0_Install.md)

- [Windows](https://blog.csdn.net/amusi1994/article/details/80077667)



## PyTorch参考学习资料



### PyTorch入门指南



[Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)  [中文版]( https://github.com/xavier-zy/Awesome-pytorch-list-CNVersion )：A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.



[知乎：新手如何入门PyTorch](https://www.zhihu.com/question/55720139)



[PyTorch：60分钟入门](http://pytorch.org/tutorials/)



[the-incredible-pytorch](https://github.com/ritchieng/the-incredible-pytorch)：The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.



[PyTorch internals](http://blog.ezyang.com/2019/05/pytorch-internals/)：This post is a long form essay version of a talk about PyTorch internals.



### 官网&社区



**国外**



- **（♥♥♥♥♥）**[PyTorch官网](http://pytorch.org/)

- **（♥♥♥♥♥）**[GitHub：PyTorch](https://github.com/pytorch/pytorch)

- **（♥♥♥♥）**[Twitter：PyTorch](https://twitter.com/pytorch)：官方维护，分享最快动态

- **（♥♥♥♥）**[PyTorch官方论坛](https://discuss.pytorch.org/)



**国内**



- [PyTorch中文文档&教程](https://pytorch.apachecn.org/#/)



- [知乎话题：PyTorch](https://www.zhihu.com/topic/20075993/hot)



### 在线教程



**国外**



- **（♥♥♥♥♥）**[PyTorch：Doc](http://pytorch.org/docs/)

- **（♥♥♥♥♥）**[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)：PyTorch Tutorial for Deep Learning Researchers

- **（♥♥♥♥♥）**[practicalAI](https://github.com/GokuMohandas/practicalAI/)：Implement basic ML algorithms and deep neural networks with [PyTorch](https://pytorch.org/).

- **（♥♥♥♥♥）**[Dive Into Deep Learning - PyTorch]( https://github.com/dsgiitr/d2l-pytorch)： from MXNet into PyTorch

- **（♥♥♥♥）**[practical-pytorch](https://github.com/spro/practical-pytorch)：PyTorch tutorials demonstrating modern techniques with readable code

- **（♥♥♥♥）**[Deep Learning with PyTorch](http://deeplizard.com/learn/playlist/PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG)：This series is all about neural network programming and PyTorch! 

- **（♥♥♥）** [EffectivePyTorch](https://github.com/vahidk/EffectivePyTorch)： PyTorch tutorials and best practices. 

- **（♥♥♥）**[Minicourse in Deep Learning with PyTorch](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse)：Mini Course in Deep Learning with PyTorch for AIMS

- **（♥♥♥）**[pytorch-cpp]( https://github.com/prabhuomkar/pytorch-cpp )：C++ Implementation of PyTorch Tutorial for Deep Learning Researchers

- **（♥♥♥）**[pytorch-examples](https://github.com/jcjohnson/pytorch-examples)：Simple examples to introduce PyTorch

- **（♥♥♥）**[PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)：Simple PyTorch Tutorials Zero to ALL!



**国内**



- **（♥♥♥♥♥）**[pytorch-book](https://github.com/chenyuntc/pytorch-book)：PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

- **（♥♥♥♥♥）**[莫凡：PyTorch教学](https://morvanzhou.github.io/tutorials/machine-learning/torch/)：Build your neural network easy and fast

- **（♥♥♥♥♥）**[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)：pytorch handbook是一本开源的书籍

- **（♥♥♥♥）**[Dive-into-DL-PyTorch](https://github.com/ShusenTang/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。

- **（♥♥♥♥）**[PyTorch_Tutorial](https://github.com/tensor-yu/PyTorch_Tutorial)：《Pytorch模型训练实用教程》中配套代码 [PyTorch学习笔记](https://zhuanlan.zhihu.com/c_1056853059086430208)



### 视频教程



**国外**



- **（♥♥♥♥）**[Deep Learning with PyTorch]( https://www.youtube.com/playlist?list=PLyMom0n-MBroupZiLfVSZqK5asX8KfoHL )



-  **（♥♥♥♥）**[PyTorch - Deep Learning with Python](https://www.youtube.com/playlist?list=PLQVvvaa0QuDdeMyHEYc0gxFpYwHY2Qfdh)



- **（♥♥♥）**[Neural Network Programming - Deep Learning with PyTorch](https://www.youtube.com/watch?v=v5cngxo4mIg&list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG)  

- **（♥♥♥）**[Intro to Deep Learning with PyTorch](https://cn.udacity.com/course/deep-learning-pytorch--ud188)：优达免费课程



**国内**



- **（♥♥♥♥♥）**[莫凡：PyTorch教学](https://morvanzhou.github.io/tutorials/machine-learning/torch/)



### 书籍资源



**国外**



-  **（♥♥♥♥♥）**[Deep Learning with PyTorch](https://www.manning.com/books/deep-learning-with-pytorch)：LeCun力荐，PyTorch官方权威教程书  [github代码]( https://github.com/deep-learning-with-pytorch/dlwpt-code )



- **（♥♥♥）**[Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python](https://github.com/rasbt/deep-learning-book)



**国内**



- ~~**（♥♥♥♥♥）**[《深度学习框架PyTorch：入门与实践》](https://book.douban.com/subject/27624483/)~~  [github](https://github.com/chenyuntc/pytorch-book)



### 经验&技巧



- **（♥♥♥♥♥）**[PyTorchTricks](https://github.com/lartpang/PyTorchTricks) 



### 实战项目



- **（♥♥♥♥♥）**[pytorch-examples](https://github.com/pytorch/examples)：官网示例

- **（♥♥♥♥♥）**[pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)：Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

- **（♥♥♥♥）**[Detectron2]( https://github.com/facebookresearch/detectron2)：FAIR's next-generation research platform for object detection and segmentation.

- **（♥♥♥♥）**[mmdetection](https://github.com/open-mmlab/mmdetection)：Open MMLab Detection Toolbox with PyTorch 1.0

- **（♥♥♥♥）**[pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)：Semantic Segmentation Architectures Implemented in PyTorch

- **（♥♥♥♥）**[PyTorch Image Models]( https://github.com/rwightman/pytorch-image-models )： (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

- [PyTorch CNN Finetune](https://github.com/creafz/pytorch-cnn-finetune)：Fine-tune pretrained Convolutional Neural Networks with PyTorch

- [PyTorch-Deep-Learning-Template](https://github.com/FrancescoSaverioZuppichini/PyTorch-Deep-Learning-Template)

- [semantic-segmentation-pytorch](https://github.com/CSAILVision/semantic-segmentation-pytorch)

- [pytorch-pretrained-BERT](https://github.com/huggingface/pytorch-pretrained-BERT)

- [torchcv](https://github.com/youansheng/torchcv)：A PyTorch-Based Framework for Deep Learning in Computer Vision

- https://github.com/devnag/pytorch-generative-adversarial-networks



### 生态工具



- [Ecosystem Tools]( https://pytorch.org/ecosystem/ )：官方认证的PyTorch生态圈工具列表，含几十个工具包，强烈推荐！

- [PyTorch Lightning](https://github.com/williamFalcon/pytorch-lightning)：Lightning is a very lightweight wrapper on PyTorch.

- [Hydra]( https://hydra.cc/ )：A framework for elegantly configuring complex applications 

- [Torchmeta](https://github.com/tristandeleu/pytorch-meta)：PyTorch 少样本学习和元学习库

- [Torch Optimizer](https://github.com/jettify/pytorch-optimizer)：PyTorch优化器工具库

- [Pytorch-Toolbox](https://github.com/PistonY/torch-toolbox)

- [Eisen](http://eisen.ai/)：a python package for solid deep learning

- [Dassl](https://github.com/KaiyangZhou/Dassl.pytorch)：A PyTorch toolbox for domain adaptation and semi-supervised learning.

- [PyRetri](https://github.com/PyRetri/PyRetri)：基于PyTorch的无监督图像检索工具库

- [Kornia](https://github.com/kornia/kornia)：Open Source Differentiable Computer Vision Library for PyTorch

- [FastReID](https://github.com/JDAI-CV/fast-reid): 一个面向学术界和工业界的 ReID Toolbox

- [KAIR](https://github.com/cszn/KAIR)：基于PyTorch的图像复原/修复工具箱（支持训练和测试）

- [FAIRScale](https://github.com/facebookresearch/fairscale)：用于高性能和大规模训练的PyTorch工具

- [PyTorch3D](https://github.com/facebookresearch/pytorch3d)：用于3D计算机视觉的PyTorch工具



### PyTorch技巧



- [Pytorch有什么节省显存的小技巧？](https://www.zhihu.com/question/274635237)

- [PyTorch 有哪些坑/bug？](https://www.zhihu.com/question/67209417)



### 其他资料



- [Awesome-PyTorch-list](https://github.com/bharathgs/Awesome-pytorch-list)   [中文版](https://github.com/xavier-zy/Awesome-pytorch-list-CNVersion)