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PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
| Date | Stars |
|---|---|
| 2026-07-24 | 1478 |
| 2026-07-25 | 1478 |
| 2026-07-28 | 1478 |
| 2026-07-30 | 1478 |
| 2026-08-06 | 1478 |
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# PyTorch tutorials, examples and books
## Table of Contents / 目录:
- [PyTorch tutorials, examples and books](#pytorch-tutorials-examples-and-books)
- [Table of Contents / 目录:](#table-of-contents--目录)
- [PyTorch 1.x tutorials and examples](#pytorch-1x-tutorials-and-examples)
- [Books and slides about PyTorch 书籍、PPT等](#books-and-slides-about-pytorch-书籍ppt等)
- [以下是一些独立的教程](#以下是一些独立的教程)
- [1) PyTorch深度学习：60分钟入门与实战](#1-pytorch深度学习60分钟入门与实战)
- [2) Learning PyTorch with Examples 用例子学习PyTorch](#2-learning-pytorch-with-examples-用例子学习pytorch)
- [How to run? 推荐的运行方式](#how-to-run-推荐的运行方式)
## PyTorch 1.x tutorials and examples
* [0.PyTorch 版本变化及迁移指南](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/0.PyTorch版本变化及迁移指南)
* [1.PyTorch_for_Numpy_Users 给Numpy用户的PyTorch指南](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/1.PyTorch_for_Numpy_users%20给Numpy用户的PyTorch指南)
* [2.PyTorch_Basics PyTorch基础](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/2.PyTorch%20_basics%20PyTorch基础)
* [3.Linear_Regression 线性回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/3.Linear_regression%20线性回归)
* [4.Logistic_Regression Logistic 回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/4.Logistic_regression%20Logistic回归)
* [5.Optimizer 优化器](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/5.Optimizer%20优化器)
* [6.Neural_Network 神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/6.Neural_Network%20神经网络)
* [7.Convolutional_Neural_Network(CNN) 卷积神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/7.Convolutional_Neural_Network(CNN)%20卷积神经网络)
* [8.Famous_CNN 经典的CNN网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/8.Famous_CNN%20经典的CNN网络)
* [9.Using_Pretrained_models 使用预训练的模型](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/9.Using_Pretrained_Models%20使用预训练的模型)
* [10.Dataset_and_Dataloader 自定义数据读取](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/10.Dataset_and_Dataloader%20自定义数据读取)
* [11.Custom_Dataset_example 定义自己的数据集](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/11.Custom_Dataset_Example%20定义自己的数据集)
* [12.Visdom_Visualization visdom可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/12.Visdom_Visualization%20visdom可视化)
* [13.Tensorboard_Visualization tensorboard可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/13.Tensorboard_Visualization%20tensorboard可视化)
* [14.Semantic_Segmentation 语义分割](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/14.Semantic_Segmentation%20语义分割)
* [15.Transfer_Learning 迁移学习](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/15.Transfer_Learning%20迁移学习)
* [16.Neural_Style(StyleTransfer) 风格迁移](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/16.Neural_Style(StyleTransfer)%20风格迁移)
* [A.计算机视觉与PyTorch](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/A.%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8EPyTorch)
* PyTorch与计算机视觉简要总结
* [Markdown version](https://github.com/bat67/pytorch-tutorials-examples-and-books/blob/master/A.%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8EPyTorch/PyTorch%20and%20computer%20vision%20tasks%EF%BC%9Aa%20summary.md)
* [Notebook version](https://github.com/bat67/pytorch-tutorials-examples-and-books/blob/master/A.%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8EPyTorch/PyTorch%20and%20computer%20vision%20tasks%EF%BC%9Aa%20summary.ipynb)
* [B.PyTorch概览](https://github.com/bat67/pytorch-tutorials-examples-and-books/blob/master/B.PyTorch概览/PyTorch概览.md)
## [Books and slides about PyTorch 书籍、PPT等](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/books-and-slideExcerpt of 15,598 characters
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