# ShusenTang/Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Repository: https://github.com/ShusenTang/Dive-into-DL-PyTorch
Canonical: https://ross.abutalabs.com/products/dive-into-dl-pytorch
Homepage: http://tangshusen.me/Dive-into-DL-PyTorch
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: deep-learning, deep-learning-tutorial, pytorch, pytorch-tutorial, computer-vision, natural-language-processing, d2l
Last push: 2021-10-14T08:59:15+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": 2750, "days_push": 1784, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 19466, forks 5403 (observed 2026-08-28T04:11:28.678412+00:00)

## What it is
A Chinese-language adaptation of the 'Dive into Deep Learning' (D2L) textbook that replaces the original MXNet code with PyTorch implementations. It provides Jupyter Notebook tutorials covering deep learning fundamentals through computer vision and NLP applications.

## Use cases
- learn deep learning with pytorch
- chinese-language deep learning textbook
- dive into deep learning pytorch edition
- hands-on pytorch tutorials with notebooks
- study computer vision and nlp basics
- convert d2l mxnet examples to pytorch

## When to choose
- you want to learn deep learning theory alongside runnable PyTorch code
- you prefer Chinese-language instructional material
- you want a free, well-structured alternative to a paid deep learning course

## When to avoid
- you need up-to-date coverage of modern architectures like transformers or LLMs
- you prefer TensorFlow, JAX, or MXNet examples
- you need actively maintained content with recent updates

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, nlp, computer-vision
- domain: deep-learning, machine-learning, tutorials, computer-vision
- platform: python, cross-platform
- tags: pytorch, d2l, jupyter-notebook, chinese, tutorial, textbook-translation, natural-language-processing

## Member repositories
- ShusenTang/Dive-into-DL-PyTorch (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:28.678412+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 2026-08-29T17:00:06.543515+00:00, confidence not recorded.
  - homepage: http://tangshusen.me/Dive-into-DL-PyTorch (fetched 2026-08-29T07:58:24.318942+00:00, sha 2719db7ef764)
- Data as of 2026-08-30T08:39:29.467469+00:00.