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Pytorch Book

Pytorch Book is an open-source repository of Jupyter notebooks and code accompanying a PyTorch learning book, covering core concepts, advanced extensions, and applied deep-learning projects.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Pytorch Book — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when learning PyTorch concepts through runnable notebook material or when looking for a worked example that connects those concepts to a deep-learning project.

Who it is for

  • Learners starting with PyTorch who want notebook-based explanations and experiments.
  • Developers studying advanced PyTorch techniques such as distributed training or CUDA extensions.
  • Readers seeking example implementations of computer-vision, image-generation, or text-generation projects.

Documented uses

  • Explore tensors, autograd, and neural-network building blocks through editable notebooks.
  • Study data loading, pretrained models, visualization, and GPU acceleration.
  • Learn examples of distributed training with torch.distributed or Horovod and CUDA extension development.
  • Follow implementations for image classification, anime-avatar generation, poetry generation, style transfer, and CenterNet object detection.
Before you choose

Requirements & limits

The repository is public and MIT-licensed. Its README provides installation and cloning instructions.

  • The material is organized around a book, but the README says the repository can also serve as a standalone guide.
  • The README reports code results primarily with Python 3 and PyTorch 1.6–1.8; newer PyTorch versions are not tested there.
  • The README notes that some notebook prose and Markdown remain draft material and may contain awkward wording.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the PyTorch Book repository

Prepare the documented environment and obtain the tutorial code.

Before you start

  • Python 3 is the documented primary Python version.
  • Install PyTorch using the version selected from the official PyTorch site.
  • Git is needed to clone the repository.

Steps

  1. Install PyTorch using the official installation instructions.

  2. Clone the repository with the command below.

    Documented command
    git clone https://github.com/chenyuntc/PyTorch-book.git

Expected outcome

The tutorial repository is available locally alongside an installed PyTorch environment.

Guide limitations

  • The README reports code results primarily for Python 3 and PyTorch 1.6–1.8, with the book's code based on PyTorch 1.8.
  • Python 2 and newer PyTorch versions are not tested in the README.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
16 October 2026
Original website title
chenyuntc/pytorch-book · Official homepage title · retained in its source language
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