Sakura-gh/ML-notes resource
notes about machine learning 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
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
- readme: https://github.com/Sakura-gh/ML-notes · fetched 2026-08-28 · 63d1ec59fbe0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Sakura-gh/ML-notes | main | 32 |
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