# youssefHosni/Awesome-AI-Data-GitHub-Repos

A collection of the most important Github repos for ML, AI & Data science practitioners

Repository: https://github.com/youssefHosni/Awesome-AI-Data-GitHub-Repos
Canonical: https://ross.abutalabs.com/products/awesome-ai-data-github-repos
License: MIT
License Family: permissive
Last push: 2024-12-24T12:08:02+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 86
- inputs: {"age_days": 1213, "days_push": 617, "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 1014, forks 227 (observed 2026-08-28T04:03:13.981297+00:00)

## What it is
A curated awesome-list of the most essential GitHub repositories covering the AI, ML, and data science landscape, organized by topic such as NLP, LLMs, and computer vision. It serves as a learning and discovery resource rather than a software tool.

## Use cases
- find the best github repos for learning machine learning
- curated list of AI and data science resources
- discover open-source LLM and NLP projects
- learning roadmap for ML practitioners
- find computer vision repositories to study
- resources for becoming a data scientist

## When to choose
- you want a curated starting point for exploring AI/ML open-source projects
- you are a practitioner looking for learning resources across NLP, LLMs, and computer vision
- you want to discover well-regarded repos by topic

## When to avoid
- you need runnable software, a library, or a tool
- you need in-depth tutorials rather than links to repositories
- you need an up-to-date exhaustive index with no curation

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: machine-learning, artificial-intelligence, data-science, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, curated-resources, machine-learning, deep-learning, nlp, computer-vision, llm, data-engineering

## Member repositories
- youssefHosni/Awesome-AI-Data-GitHub-Repos (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:13.981297+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 2026-08-30T07:11:36.479059+00:00, confidence not recorded.
  - readme: https://github.com/youssefHosni/Awesome-AI-Data-GitHub-Repos (fetched 2026-08-28T04:03:13.981297+00:00, sha e0b3cc6e871c)
- Data as of 2026-08-30T08:39:29.467469+00:00.