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## Table of Contents / 目录:
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- [PyTorch tutorials, examples and books](#pytorch-tutorials-examples-and-books)
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- [Table of Contents / 目录:](#table-of-contents--目录)
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- [1. PyTorch 版本变化及迁移指南](#1-pytorch-版本变化及迁移指南)
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- [2. PyTorch for Numpy users 给Numpy用户的PyTorch指南](#2-pytorch-for-numpy-users-给numpy用户的pytorch指南)
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- [3. PyTorch 1.0 tutorials and examples](#3-pytorch-10-tutorials-and-examples)
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- [4. Books and slides about PyTorch 书籍、PPT等](#4-books-and-slides-about-pytorch-书籍ppt等)
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- [5. 以下是一些独立的教程](#5-以下是一些独立的教程)
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- [PyTorch 1.0 tutorials and examples](#pytorch-10-tutorials-and-examples)
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- [Books and slides about PyTorch 书籍、PPT等](#books-and-slides-about-pytorch-书籍ppt等)
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- [以下是一些独立的教程](#以下是一些独立的教程)
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- [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)
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- [2) Learning PyTorch with Examples 用例子学习PyTorch](#2-learning-pytorch-with-examples-用例子学习pytorch)
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- [3) PyTorch1.0-Zero-To-All](#3-pytorch10-zero-to-all)
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- [4) Grokking PyTorch](#4-grokking-pytorch)
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- [6. How to run? 推荐的运行方式](#6-how-to-run-推荐的运行方式)
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- [How to run? 推荐的运行方式](#how-to-run-推荐的运行方式)
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## PyTorch 1.0 tutorials and examples
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* [0.PyTorch 版本变化及迁移指南](PyTorch版本变化及迁移指南/README.md)
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* [1.PyTorch for Numpy users 给Numpy用户的PyTorch指南](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch%20for%20Numpy%20users%20给Numpy用户的PyTorch指南)
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* [2.PyTorch-basics PyTorch基础](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch-basics%20PyTorch基础)
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* [3.Linear-regression 线性回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Linear-regression%20线性回归)
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* [4.Logistic-regression Logistic 回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Logistic-regression%20Logistic%20回归)
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* [5.optimizer 优化器](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/optimizer%20优化)
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* [6.neural-network 神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/neural-network%20神经网络)
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* [7.convolutional-neural-network(CNN) 卷积神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/convolutional-neural-network(CNN)%20卷积神经网络)
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* [8.famous-CNN 经典的CNN网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/famous-CNN%20经典的CNN网络)
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* [9.Using Pretrained models 使用预训练的模型](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Using%20Pretrained%20models%20使用预训练的模型)
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* [10.Dataset-and-Dataloader 自定义数据读取](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Dataset-and-Dataloader)
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* [11.custom-dataset-example 定义自己的数据集](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/custom-dataset-example%20定义自己的数据集)
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* [12.visdom-visualization visdom可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/visdom-visualization%20visdom可视化)
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* [13.tensorboard-visualization tensorboard可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/tensorboard-visualization%20tensorboard可视化)
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* [14.semantic-segmentation 语义分割](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/semantic-segmentation%20语义分割)
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* [15.Neural-Style (StyleTransfer) 风格迁移](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Neural-Style%20(StyleTransfer)%20风格迁移)
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* [17.Transfer-Learning 迁移学习](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Transfer-Learning%20迁移学习)
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## 1. PyTorch 版本变化及迁移指南
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* [PyTorch 1.0 **稳定版**](https://pytorch.org/get-started/locally/) 已经发布,还有什么理由不更新呢~
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* 版本变化及迁移指南见 [**这里**](PyTorch版本变化及迁移指南/README.md)
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## 2. PyTorch for Numpy users 给Numpy用户的PyTorch指南
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* 表格过长,请点击 [这里](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch%20for%20Numpy%20users%20给Numpy用户的PyTorch指南)
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## 3. PyTorch 1.0 tutorials and examples
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* [PyTorch-basics PyTorch基础](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch-basics%20PyTorch基础)
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* [Linear-regression 线性回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Linear-regression%20线性回归)
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* [Logistic-regression Logistic 回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Logistic-regression%20Logistic%20回归)
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* [optimizer 优化器](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/optimizer%20优化)
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* [neural-network 神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/neural-network%20神经网络)
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* [convolutional-neural-network(CNN) 卷积神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/convolutional-neural-network(CNN)%20卷积神经网络)
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* [famous-CNN 经典的CNN网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/famous-CNN%20经典的CNN网络)
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* [Using Pretrained models 使用预训练的模型](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Using%20Pretrained%20models%20使用预训练的模型)
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* [Dataset-and-Dataloader 自定义数据读取](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Dataset-and-Dataloader)
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* [custom-dataset-example 定义自己的数据集](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/custom-dataset-example%20定义自己的数据集)
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* [visdom-visualization visdom可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/visdom-visualization%20visdom可视化)
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* [tensorboard-visualization tensorboard可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/tensorboard-visualization%20tensorboard可视化)
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* [semantic-segmentation 语义分割](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/semantic-segmentation%20语义分割)
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* [Neural-Style (StyleTransfer) 风格迁移](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Neural-Style%20(StyleTransfer)%20风格迁移)
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* [Transfer-Learning 迁移学习](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Transfer-Learning%20迁移学习)
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* [计算机视觉与PyTorch](https://github.com/bat67/vision-with-pytorch)
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* PyTorch与计算机视觉简要总结
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* [PyTorch vs TensorFlow: A reddit post about PyTorch and TensorFlow](https://www.reddit.com/r/MachineLearning/comments/5w3q74/d_so_pytorch_vs_tensorflow_whats_the_verdict_on/)
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## 4. [Books and slides about PyTorch 书籍、PPT等](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/books-and-slides)
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## [Books and slides about PyTorch 书籍、PPT等](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/books-and-slides)
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> Note: some of these are old version; 下面的书籍部分还不是1.0版本。。毕竟1.0刚出所以书籍较少。。
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* 11-3-word-embeddings-and-translation.pdf
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## 5. 以下是一些独立的教程
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## 以下是一些独立的教程
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### 1) [PyTorch深度学习:60分钟入门与实战](https://github.com/bat67/Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn)
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## 6. How to run? 推荐的运行方式
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## How to run? 推荐的运行方式
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Some code in this repo is separated in blocks using `#%%`.
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A block is as same as a cell in `Jupyter Notebook`. So editors/IDEs supporting this functionality is recommanded.

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