# chenyuntc/pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Repository: https://github.com/chenyuntc/pytorch-book
Canonical: https://ross.abutalabs.com/products/pytorch-book
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: pytorch, pytorch-tutorials, pytorch-tutorials-cn, deep-learning, neural-style, charrnn, gan, caption, neuraltalk, image-classification, visdom, tensorboard, nn, tensor, autograd, jupyter-notebook
Last push: 2023-12-24T05:46:11+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3388, "days_push": 983, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 12846, forks 3718 (observed 2026-08-28T04:10:59.912732+00:00)

## What it is
A collection of PyTorch tutorials and companion code for the Chinese book '深度学习框架PyTorch：入门与实战', usable as a standalone PyTorch learning guide. It covers fundamentals (Tensor, autograd, nn), advanced topics (distributed training, CUDA extensions), and fun projects like anime face GAN generation, poem writing, style transfer, and CenterNet object detection.

## Use cases
- learn pytorch from scratch
- pytorch tutorial with jupyter notebooks
- implement a gan to generate anime faces
- neural style transfer example code
- train char-rnn to write chinese poems
- learn distributed training in pytorch
- object detection with centernet implementation
- write custom cuda extensions for pytorch

## When to choose
- you want a structured, book-quality introduction to PyTorch in Chinese
- you learn best from runnable Jupyter notebooks with explanations
- you want complete end-to-end deep learning project examples with pretrained models

## When to avoid
- you need up-to-date code for the latest PyTorch versions (tested on 1.6-1.8)
- you need production-grade or maintained library code
- you need English-language tutorials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, computer-vision, nlp, image-processing
- domain: deep-learning, machine-learning, tutorials, computer-vision
- platform: python, cross-platform
- tags: pytorch, jupyter-notebook, tutorials, gan, neural-style-transfer, char-rnn, centernet, image-captioning, chinese, textbook-companion, natural-language-processing, gpu

## Member repositories
- chenyuntc/pytorch-book (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:59.912732+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:13:44.821759+00:00, confidence not recorded.
  - readme: https://github.com/chenyuntc/pytorch-book (fetched 2026-08-28T04:10:59.912732+00:00, sha 8191cc9013d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.