# bat67/pytorch-tutorials-examples-and-books

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

Repository: https://github.com/bat67/pytorch-tutorials-examples-and-books
Canonical: https://ross.abutalabs.com/products/pytorch-tutorials-examples-and-books
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: deeplearning, pytorch, python, python3, machine-learning, library, deep-learning-tutorial, deep-learning-algorithms, pytorch-tutorials, deep-learning, learning-pytorch, numpy, neural-network, pytorch-ppt, slide
Last push: 2020-11-23T03:47:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2853, "days_push": 2109, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1476, forks 311 (observed 2026-08-28T04:04:50.173010+00:00)

## What it is
A curated collection of PyTorch tutorials, example notebooks, and books/slides, largely in Chinese, covering topics from basics to CNNs, transfer learning, and visualization. It is a learning resource rather than a software library.

## Use cases
- learn pytorch from scratch
- pytorch tutorial examples in jupyter notebooks
- understand cnn implementations in pytorch
- learn transfer learning with pytorch
- find pytorch books and slides
- migrate numpy code to pytorch

## When to choose
- you are a beginner learning PyTorch, especially with Chinese-language materials
- you want runnable Jupyter notebook examples of common deep learning tasks
- you need curated links to PyTorch books and slides

## When to avoid
- you need a production-ready PyTorch library or framework
- you require up-to-date tutorials for the latest PyTorch 2.x releases
- you need English-only documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: deep-learning, machine-learning, tutorials
- platform: python, cross-platform
- tags: pytorch, jupyter-notebook, tutorials, neural-networks, chinese-language, books

## Member repositories
- bat67/pytorch-tutorials-examples-and-books (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:50.173010+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 2026-08-30T04:34:26.953949+00:00, confidence not recorded.
  - readme: https://github.com/bat67/pytorch-tutorials-examples-and-books (fetched 2026-08-28T04:04:50.173010+00:00, sha 85fd62f22cef)
- Data as of 2026-08-30T08:39:29.467469+00:00.