# jobbole/awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

Repository: https://github.com/jobbole/awesome-machine-learning-cn
Canonical: https://ross.abutalabs.com/products/awesome-machine-learning-cn
License Family: other
Last push: 2024-04-03T12:20:23+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": 3956, "days_push": 882, "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 4485, forks 1246 (observed 2026-08-28T04:08:51.238790+00:00)

## What it is
A Chinese-language translation and annotation of the awesome-machine-learning curated list, cataloging machine learning frameworks, libraries, and software organized by programming language. It adds detailed Chinese descriptions to each resource entry.

## Use cases
- find machine learning libraries in Chinese
- discover ML frameworks by programming language
- learn what NLP and computer vision tools exist
- curated list of machine learning resources
- find Go or C++ machine learning libraries
- Chinese guide to ML software

## When to choose
- you prefer reading resource descriptions in Chinese
- you want a broad, language-organized catalog of ML tools
- you're exploring which ML library fits your language stack

## When to avoid
- you need up-to-date or actively maintained recommendations
- you want tutorials or hands-on learning material rather than a link list
- you only need English-language resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, nlp, computer-vision, data-science
- domain: machine-learning, artificial-intelligence, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, chinese-translation, curated-resources, machine-learning-libraries

## Member repositories
- jobbole/awesome-machine-learning-cn (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:51.238790+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 2026-08-29T18:20:30.689383+00:00, confidence not recorded.
  - readme: https://github.com/jobbole/awesome-machine-learning-cn (fetched 2026-08-28T04:08:51.238790+00:00, sha 2b5c77ad3d47)
- Data as of 2026-08-30T08:39:29.467469+00:00.