# mbadry1/Top-Deep-Learning

Top 200 deep learning Github repositories sorted by the number of stars.

Repository: https://github.com/mbadry1/Top-Deep-Learning
Canonical: https://ross.abutalabs.com/products/top-deep-learning
Language: Python
License: MIT
License Family: permissive
Topics: deep-learning, deep-neural-networks, deep-reinforcement-learning, convolutional-neural-networks, recurrent-neural-networks, stargazers-count, artificial-neural-networks, artificial-intelligence, machine-learning, top-repositories
Last push: 2024-02-17T05:33:18+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3093, "days_push": 928, "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 1775, forks 437 (observed 2026-08-28T04:05:34.509788+00:00)

## What it is
A curated, regularly updated list of the top 200 deep learning GitHub repositories ranked by star count, generated via the GitHub search API. It serves as a discovery resource for finding popular deep learning frameworks, libraries, and tools.

## Use cases
- find the most popular deep learning repositories on github
- discover trending deep learning frameworks and libraries
- compare star counts of cnn and rnn projects
- research which deep learning tools are most starred
- find learning resources for deep neural networks
- track popularity changes of deep learning repos over time

## When to choose
- you want a quick, star-ranked overview of the deep learning ecosystem
- you are looking for well-established, popular deep learning projects to learn from or adopt
- you need a periodically refreshed snapshot of top repositories

## When to avoid
- you need quality-ranked or benchmarked evaluations rather than popularity by stars
- you need up-to-the-minute data since updates are periodic
- you want a comprehensive catalog of all deep learning tools, not just the top 200

## Facets
- artifact type: dataset
- maturity: maintenance
- function: developer-tools
- domain: deep-learning, machine-learning, artificial-intelligence, awesome-lists
- platform: python
- tags: curated-list, github-ranking, star-count, resource-discovery

## Member repositories
- mbadry1/Top-Deep-Learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:34.509788+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 2026-08-30T03:25:21.308069+00:00, confidence not recorded.
  - readme: https://github.com/mbadry1/Top-Deep-Learning (fetched 2026-08-28T04:05:34.509788+00:00, sha 9700d64dd35f)
- Data as of 2026-08-30T08:39:29.467469+00:00.