# datawhalechina/leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Repository: https://github.com/datawhalechina/leedl-tutorial
Canonical: https://ross.abutalabs.com/products/leedl-tutorial
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: machine-learning, deep-learning, leedl-tutorial, cnn, reinforcement-learning, transformer, rnn, gan, pruning, self-attention, chatgpt, tutorial, network-compression, diffusion, transfer-learning, bert
Last push: 2025-11-23T09:12:43+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 53, release rhythm 16, longevity 100
- inputs: {"age_days": 2620, "days_push": 283, "days_rel": 446, "gap_med": 123, "n_releases_24m": 4}
- flags: no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 16733, forks 3098 (observed 2026-08-28T04:11:17.065069+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- datawhalechina/leedl-tutorial (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:17.065069+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.