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TingsongYu/PyTorch_Tutorial

Companion code for the Chinese book 《PyTorch实用教程》, covering PyTorch model training workflows with runnable Python examples.

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What is it?

This repository holds the example code that accompanies the Chinese-language book 《PyTorch实用教程》 (Practical PyTorch Tutorial). It is aimed at readers who want to learn how to train deep learning models with PyTorch, and the code follows the book's chapters step by step.

The repository's setup instructions cover installing dependencies from requirements.txt and then installing PyTorch and torchvision separately, using the CPU build. The code was tested on Windows 10 with Python 3.5 and PyTorch 0.4.0, and on macOS with Python 3.6 and PyTorch 0.4.1 or 1.0.0, so the examples target older PyTorch versions.

A second edition of the book is published online and adds deep learning application cases in computer vision, NLP and LLMs, along with ONNX and TensorRT inference deployment tutorials.

Key features

  • 01Companion code for a Chinese PyTorch model training tutorial book
  • 02Organized by book chapters for step-by-step learning
  • 03Dependencies listed in requirements.txt for easy setup
  • 04Examples tested on Windows 10 and macOS with older PyTorch versions

Use cases

  • Learning PyTorch model training as a Chinese-speaking beginner
  • Following along with the book's examples chapter by chapter
  • Finding a reference for basic PyTorch training code

Quick start

  1. 1

    Install the Python dependencies from requirements.txt

    pip install -r requirements.txt
  2. 2

    Manually install PyTorch and torchvision (CPU build) from the official site

Things to know

  • The README tests only old versions (Python 3.5/3.6, PyTorch 0.4 to 1.0), so newer environments may need adjustments.
  • The README gives no open-source license, so reuse terms are unclear.
  • The companion code is for a Chinese book, with docs and comments mainly in Chinese.

Topics

#pytorch#deep-learning#tutorial#machine-learning#python

FAQ

What is PyTorch_Tutorial?
Companion code for the Chinese book 《PyTorch实用教程》, covering PyTorch model training workflows with runnable Python examples. This repository holds the example code that accompanies the Chinese-language book 《PyTorch实用教程》 (Practical PyTorch Tutorial). It is aimed at readers who want to learn how to train deep learning models with PyTorch, and the code follows the book's chapters step by step.
Is PyTorch_Tutorial free to use? What license does it have?
PyTorch_Tutorial has no declared license. Its code is public, but without a license you have no explicit permission to reuse it; ask the author before relying on it.
Is PyTorch_Tutorial still maintained?
Actively maintained. The last commit to PyTorch_Tutorial was on Nov 1, 2026.
What can I use PyTorch_Tutorial for?
Learning PyTorch model training as a Chinese-speaking beginner Following along with the book's examples chapter by chapter Finding a reference for basic PyTorch training code
How do I install PyTorch_Tutorial?
Install the Python dependencies from requirements.txt: pip install -r requirements.txt Manually install PyTorch and torchvision (CPU build) from the official site
Where can I get PyTorch_Tutorial?
The source code and installation instructions are on GitHub: https://github.com/TingsongYu/PyTorch_Tutorial

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