# Sakura-gh/ML-notes

notes about machine learning

Repository: https://github.com/Sakura-gh/ML-notes
Canonical: https://ross.abutalabs.com/products/ml-notes
Language: HTML
License: GPL-2.0
License Family: copyleft
Last push: 2021-11-22T03:46:17+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": 2417, "days_push": 1745, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3281, forks 889 (observed 2026-08-28T04:07:53.593239+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, documentation
- domain: machine-learning, deep-learning, tutorials
- platform: -
- tags: study-notes, lecture-notes, chinese-language, static-site, tutorials, web-server

## Member repositories
- Sakura-gh/ML-notes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:53.593239+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 2026-08-29T18:43:19.230680+00:00, confidence not recorded.
  - readme: https://github.com/Sakura-gh/ML-notes (fetched 2026-08-28T04:07:53.593239+00:00, sha 63d1ec59fbe0)
- Data as of 2026-08-30T08:39:29.467469+00:00.