{"id":34967856,"url":"https://github.com/amusi/pytorch-from-zero-to-one","last_synced_at":"2025-12-26T23:21:53.138Z","repository":{"id":61779417,"uuid":"140929219","full_name":"amusi/PyTorch-From-Zero-To-One","owner":"amusi","description":"PyTorch从入门到精通","archived":false,"fork":false,"pushed_at":"2020-07-18T06:19:28.000Z","size":30,"stargazers_count":874,"open_issues_count":1,"forks_count":223,"subscribers_count":22,"default_branch":"master","last_synced_at":"2025-03-20T18:42:14.600Z","etag":null,"topics":["deep-learning","pytorch","pytorch-tutorials"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/amusi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-07-14T08:19:14.000Z","updated_at":"2025-03-15T08:23:52.000Z","dependencies_parsed_at":"2022-10-21T03:00:21.790Z","dependency_job_id":null,"html_url":"https://github.com/amusi/PyTorch-From-Zero-To-One","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/amusi/PyTorch-From-Zero-To-One","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2FPyTorch-From-Zero-To-One","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2FPyTorch-From-Zero-To-One/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2FPyTorch-From-Zero-To-One/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2FPyTorch-From-Zero-To-One/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amusi","download_url":"https://codeload.github.com/amusi/PyTorch-From-Zero-To-One/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amusi%2FPyTorch-From-Zero-To-One/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28064519,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-12-26T02:00:06.189Z","response_time":55,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","pytorch","pytorch-tutorials"],"created_at":"2025-12-26T23:21:52.654Z","updated_at":"2025-12-26T23:21:53.132Z","avatar_url":"https://github.com/amusi.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# PyTorch-From-Zero-To-One\nPyTorch 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\n\n\u003e 注1：♥ 表示推荐指数，越多越好\n\n\u003e 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)\n\n## 笔记\n\n安装教程\n\n- [Ubuntu](examples/Python1.0_Install.md)\n- [Windows](https://blog.csdn.net/amusi1994/article/details/80077667)\n\n## PyTorch参考学习资料\n\n### PyTorch入门指南\n\n[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.\n\n[知乎：新手如何入门PyTorch](https://www.zhihu.com/question/55720139)\n\n[PyTorch：60分钟入门](http://pytorch.org/tutorials/)\n\n[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.\n\n[PyTorch internals](http://blog.ezyang.com/2019/05/pytorch-internals/)：This post is a long form essay version of a talk about PyTorch internals.\n\n### 官网\u0026社区\n\n**国外**\n\n- **（♥♥♥♥♥）**[PyTorch官网](http://pytorch.org/)\n- **（♥♥♥♥♥）**[GitHub：PyTorch](https://github.com/pytorch/pytorch)\n- **（♥♥♥♥）**[Twitter：PyTorch](https://twitter.com/pytorch)：官方维护，分享最快动态\n- **（♥♥♥♥）**[PyTorch官方论坛](https://discuss.pytorch.org/)\n\n**国内**\n\n- [PyTorch中文文档\u0026教程](https://pytorch.apachecn.org/#/)\n\n- [知乎话题：PyTorch](https://www.zhihu.com/topic/20075993/hot)\n\n### 在线教程\n\n**国外**\n\n- **（♥♥♥♥♥）**[PyTorch：Doc](http://pytorch.org/docs/)\n- **（♥♥♥♥♥）**[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)：PyTorch Tutorial for Deep Learning Researchers\n- **（♥♥♥♥♥）**[practicalAI](https://github.com/GokuMohandas/practicalAI/)：Implement basic ML algorithms and deep neural networks with [PyTorch](https://pytorch.org/).\n- **（♥♥♥♥♥）**[Dive Into Deep Learning - PyTorch]( https://github.com/dsgiitr/d2l-pytorch)： from MXNet into PyTorch\n- **（♥♥♥♥）**[practical-pytorch](https://github.com/spro/practical-pytorch)：PyTorch tutorials demonstrating modern techniques with readable code\n- **（♥♥♥♥）**[Deep Learning with PyTorch](http://deeplizard.com/learn/playlist/PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG)：This series is all about neural network programming and PyTorch! \n- **（♥♥♥）** [EffectivePyTorch](https://github.com/vahidk/EffectivePyTorch)： PyTorch tutorials and best practices. \n- **（♥♥♥）**[Minicourse in Deep Learning with PyTorch](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse)：Mini Course in Deep Learning with PyTorch for AIMS\n- **（♥♥♥）**[pytorch-cpp]( https://github.com/prabhuomkar/pytorch-cpp )：C++ Implementation of PyTorch Tutorial for Deep Learning Researchers\n- **（♥♥♥）**[pytorch-examples](https://github.com/jcjohnson/pytorch-examples)：Simple examples to introduce PyTorch\n- **（♥♥♥）**[PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)：Simple PyTorch Tutorials Zero to ALL!\n\n**国内**\n\n- **（♥♥♥♥♥）**[pytorch-book](https://github.com/chenyuntc/pytorch-book)：PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation\n- **（♥♥♥♥♥）**[莫凡：PyTorch教学](https://morvanzhou.github.io/tutorials/machine-learning/torch/)：Build your neural network easy and fast\n- **（♥♥♥♥♥）**[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)：pytorch handbook是一本开源的书籍\n- **（♥♥♥♥）**[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。\n- **（♥♥♥♥）**[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)\n\n### 视频教程\n\n**国外**\n\n- **（♥♥♥♥）**[Deep Learning with PyTorch]( https://www.youtube.com/playlist?list=PLyMom0n-MBroupZiLfVSZqK5asX8KfoHL )\n\n-  **（♥♥♥♥）**[PyTorch - Deep Learning with Python](https://www.youtube.com/playlist?list=PLQVvvaa0QuDdeMyHEYc0gxFpYwHY2Qfdh)\n\n- **（♥♥♥）**[Neural Network Programming - Deep Learning with PyTorch](https://www.youtube.com/watch?v=v5cngxo4mIg\u0026list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG)  \n- **（♥♥♥）**[Intro to Deep Learning with PyTorch](https://cn.udacity.com/course/deep-learning-pytorch--ud188)：优达免费课程\n\n**国内**\n\n- **（♥♥♥♥♥）**[莫凡：PyTorch教学](https://morvanzhou.github.io/tutorials/machine-learning/torch/)\n\n### 书籍资源\n\n**国外**\n\n-  **（♥♥♥♥♥）**[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 )\n\n- **（♥♥♥）**[Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python](https://github.com/rasbt/deep-learning-book)\n\n**国内**\n\n- ~~**（♥♥♥♥♥）**[《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)\n\n### 经验\u0026技巧\n\n- **（♥♥♥♥♥）**[PyTorchTricks](https://github.com/lartpang/PyTorchTricks) \n\n### 实战项目\n\n- **（♥♥♥♥♥）**[pytorch-examples](https://github.com/pytorch/examples)：官网示例\n- **（♥♥♥♥♥）**[pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)：Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\n- **（♥♥♥♥）**[Detectron2]( https://github.com/facebookresearch/detectron2)：FAIR's next-generation research platform for object detection and segmentation.\n- **（♥♥♥♥）**[mmdetection](https://github.com/open-mmlab/mmdetection)：Open MMLab Detection Toolbox with PyTorch 1.0\n- **（♥♥♥♥）**[pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)：Semantic Segmentation Architectures Implemented in PyTorch\n- **（♥♥♥♥）**[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\n- [PyTorch CNN Finetune](https://github.com/creafz/pytorch-cnn-finetune)：Fine-tune pretrained Convolutional Neural Networks with PyTorch\n- [PyTorch-Deep-Learning-Template](https://github.com/FrancescoSaverioZuppichini/PyTorch-Deep-Learning-Template)\n- [semantic-segmentation-pytorch](https://github.com/CSAILVision/semantic-segmentation-pytorch)\n- [pytorch-pretrained-BERT](https://github.com/huggingface/pytorch-pretrained-BERT)\n- [torchcv](https://github.com/youansheng/torchcv)：A PyTorch-Based Framework for Deep Learning in Computer Vision\n- https://github.com/devnag/pytorch-generative-adversarial-networks\n\n### 生态工具\n\n- [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！\n- [PyTorch Lightning](https://github.com/williamFalcon/pytorch-lightning)：Lightning is a very lightweight wrapper on PyTorch.\n- [Hydra]( https://hydra.cc/ )：A framework for elegantly configuring complex applications \n- [Torchmeta](https://github.com/tristandeleu/pytorch-meta)：PyTorch 少样本学习和元学习库\n- [Torch Optimizer](https://github.com/jettify/pytorch-optimizer)：PyTorch优化器工具库\n- [Pytorch-Toolbox](https://github.com/PistonY/torch-toolbox)\n- [Eisen](http://eisen.ai/)：a python package for solid deep learning\n- [Dassl](https://github.com/KaiyangZhou/Dassl.pytorch)：A PyTorch toolbox for domain adaptation and semi-supervised learning.\n- [PyRetri](https://github.com/PyRetri/PyRetri)：基于PyTorch的无监督图像检索工具库\n- [Kornia](https://github.com/kornia/kornia)：Open Source Differentiable Computer Vision Library for PyTorch\n- [FastReID](https://github.com/JDAI-CV/fast-reid): 一个面向学术界和工业界的 ReID Toolbox\n- [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）\n- [FAIRScale](https://github.com/facebookresearch/fairscale)：用于高性能和大规模训练的PyTorch工具\n- [PyTorch3D](https://github.com/facebookresearch/pytorch3d)：用于3D计算机视觉的PyTorch工具\n\n### PyTorch技巧\n\n- [Pytorch有什么节省显存的小技巧？](https://www.zhihu.com/question/274635237)\n- [PyTorch 有哪些坑/bug？](https://www.zhihu.com/question/67209417)\n\n\n### 其他资料\n\n- [Awesome-PyTorch-list](https://github.com/bharathgs/Awesome-pytorch-list)   [中文版](https://github.com/xavier-zy/Awesome-pytorch-list-CNVersion)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famusi%2Fpytorch-from-zero-to-one","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famusi%2Fpytorch-from-zero-to-one","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famusi%2Fpytorch-from-zero-to-one/lists"}