# allmachinelearning/MachineLearning

Machine learning resources

Repository: https://github.com/allmachinelearning/MachineLearning
Canonical: https://ross.abutalabs.com/products/allmachinelearning-machinelearning
Homepage: https://allmachinelearning.github.io/MachineLearning/
License Family: other
Topics: machinelearning, artificial-intelligence, datamining, deep-learning
Last push: 2024-04-01T10:34:07+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": 3403, "days_push": 884, "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 3839, forks 978 (observed 2026-08-28T04:08:23.923868+00:00)

## What it is
A curated collection of machine learning learning resources, primarily in Chinese, covering textbooks, courses, code implementations, and datasets. It organizes materials by research area including deep learning, reinforcement learning, transfer learning, computer vision, and NLP.

## Use cases
- find textbooks to learn machine learning from scratch
- discover Chinese-language ML courses and lectures
- locate code implementations of classic ML algorithms
- prepare for Kaggle competitions with beginner resources
- find deep learning papers and survey collections
- build a self-study roadmap for data science

## When to choose
- you are a beginner seeking a structured ML learning path
- you prefer Chinese-language textbooks and course materials
- you want a single curated index of ML books, courses, and code

## When to avoid
- you need runnable software or a library rather than links
- you require only English-language resources
- you need up-to-date cutting-edge research beyond the last update

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp, computer-vision
- domain: machine-learning, artificial-intelligence, tutorials, awesome-lists
- platform: cross-platform
- tags: curated-list, chinese-language, textbooks, kaggle, study-guide

## Member repositories
- allmachinelearning/MachineLearning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:23.923868+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 2026-08-29T18:26:14.740603+00:00, confidence not recorded.
  - readme: https://github.com/allmachinelearning/MachineLearning (fetched 2026-08-28T04:08:23.923868+00:00, sha 0066e4360504)
  - homepage: https://allmachinelearning.github.io/MachineLearning/ (fetched 2026-08-29T09:21:17.805266+00:00, sha d731d6ee7438)
- Data as of 2026-08-30T08:39:29.467469+00:00.