# MLNLP-World/DeepLearning-MuLi-Notes

Notes about courses Dive into Deep Learning by Mu Li

Repository: https://github.com/MLNLP-World/DeepLearning-MuLi-Notes
Canonical: https://ross.abutalabs.com/products/deeplearning-muli-notes
Language: Jupyter Notebook
License Family: other
Topics: deep-learning, pytorch
Last push: 2023-04-11T13:21:00+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": 1585, "days_push": 1240, "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 3822, forks 593 (observed 2026-08-28T04:08:21.264824+00:00)

## What it is
A community-maintained collection of Chinese markdown notes and annotated Jupyter/PyTorch code accompanying Mu Li's 'Dive into Deep Learning' video course. The notes map one-to-one to the 73 course videos and include fully commented implementations of classic and modern deep learning models.

## Use cases
- learn deep learning fundamentals alongside Mu Li's video course
- find Chinese study notes for the d2l.ai textbook
- get PyTorch code examples with detailed Chinese comments
- review models like ResNet, LSTM, and BERT with hands-on notebooks
- self-study deep learning over a structured 40-day plan

## When to choose
- you are following the Dive into Deep Learning course and want matching notes
- you prefer Chinese-language explanations with runnable PyTorch code
- you want a free, structured companion to the d2l.ai textbook

## When to avoid
- you need a maintained deep learning library or framework rather than notes
- you require English-only learning materials
- you need production-ready, licensed code for a project

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: study-notes, jupyter-notebooks, pytorch, chinese, d2l, video-course-companion

## Member repositories
- MLNLP-World/DeepLearning-MuLi-Notes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:21.264824+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 2026-08-29T18:26:24.173004+00:00, confidence not recorded.
  - readme: https://github.com/MLNLP-World/DeepLearning-MuLi-Notes (fetched 2026-08-28T04:08:21.264824+00:00, sha f89ea5bb7c13)
- Data as of 2026-08-30T08:39:29.467469+00:00.