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Sakura-gh/ML-notes resource

notes about machine learning observed · 2026-08-28

github.com/Sakura-gh/ML-notes · HTML · GPL-2.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2417
  • days_rel: n/a
  • days_push: 1745
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3281 stars · 889 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of machine learning study notes based on Hung-yi Lee's courses, published as HTML pages and PDFs. It covers regression, classification, deep learning, CNNs, RNNs, unsupervised learning, and more.

Use cases

  • learn machine learning fundamentals
  • study notes for deep learning courses
  • understand CNN and RNN concepts
  • review gradient descent and backpropagation
  • find explanations of GANs and transfer learning
  • supplement university ML coursework

When to choose

  • you want free, structured ML course notes in Chinese
  • you are a beginner studying machine learning or deep learning theory
  • you prefer reading HTML/PDF notes alongside video lectures

When to avoid

  • you need runnable production ML code or libraries
  • you want up-to-date content on modern LLMs
  • you need English-language materials

Facets

learning-resource · maturity maintenance

machine-learning deep-learning documentation machine-learning deep-learning tutorials study-notes lecture-notes chinese-language static-site tutorials web-server

1 source

Member repositories

RepositoryRoleHealth v2
Sakura-gh/ML-notesmain32

For agents

markdown · JSON · MCP: product_card(name="Sakura-gh/ML-notes")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem