labmlai/annotated_deep_learning_paper_implementations
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
67.6k stars ยท 6.8k forks ยท Python
Healthy
Healthy: no known risks in the checks that ran.
Why
No rule fired.
What would change this
- Partly checked: people (Only 2 human commits were found, too few to judge who maintains the project.)
- A dormant maintenance status, a deprecated or archived package, a successor link, or a critical advisory would change this.
Maintenance
CompleteSteady
- Human commits, 30 days
- 0
- Human commits, 90 days
- 0
- Human commits, 365 days
- 2
- Bot share of commits, 365 days
- 0%
- Last commit
- Jan 22, 2026 (8 months ago)
- Last human commit
- Jan 22, 2026 (8 months ago)
- Authors, 90 days
- 0
- Last release
- none found
- Median PR merge time
- 2 days
Responsiveness: of 1 recent issues, n/a got a maintainer reply. Median first response: n/a.
- Only 1 recent issues can be checked for a response, too few to measure response time.
Sources: Commits, Releases, Merged pull requests, Issues
People
Partial- Owner
- Organization
- Commits sampled
- 2 since Oct 14, 2025
- Authors for half of commits
- 1
- Authors for 80% of commits
- 1
- Contributors
- 39
Top committers
- vpj: 100% of commits
- Only 2 human commits were found, too few to judge who maintains the project.
Sources: Commits, Contributors
Stars
CompleteOrganic, confidence high
Bursts
- Oct 22, 2020 to Oct 23, 2020: about 67 more stars than usual, peak 57 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
- Jan 3, 2021 to Jan 6, 2021: about 39 more stars than usual, peak 21 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- Jan 10, 2021 to Jan 12, 2021: about 107 more stars than usual, peak 68 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Jan 30, 2021 to Feb 8, 2021: about 1.4k more stars than usual, peak 462 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks, a jump in issues and pull requests.
- Apr 19, 2021 to Apr 20, 2021: about 25 more stars than usual, peak 17 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- Apr 28, 2021 to Apr 29, 2021: about 30 more stars than usual, peak 23 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks.
- Aug 17, 2021 to Aug 24, 2021: about 1.1k more stars than usual, peak 331 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Jan 16, 2022 to Jan 19, 2022: about 129 more stars than usual, peak 69 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Apr 25, 2022 to May 16, 2022: about 1.9k more stars than usual, peak 325 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Jul 25, 2022 to Jul 29, 2022: about 186 more stars than usual, peak 99 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Aug 10, 2022 to Aug 13, 2022: about 357 more stars than usual, peak 200 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Nov 1, 2022 to Nov 8, 2022: about 405 more stars than usual, peak 132 in one day, a shape we can't classify. Outside explanation: a jump in forks.
- Dec 24, 2022 to Dec 29, 2022: about 716 more stars than usual, peak 237 in one day, a shape we can't classify. Outside explanation: a jump in forks, a jump in issues and pull requests.
- Jan 27, 2023 to Jan 31, 2023: about 158 more stars than usual, peak 61 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Mar 21, 2023 to Apr 7, 2023: about 1.8k more stars than usual, peak 231 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Jun 6, 2023 to Jun 8, 2023: about 312 more stars than usual, peak 242 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Jul 13, 2023 to Jul 22, 2023: about 2.1k more stars than usual, peak 532 in one day, a shape we can't classify. Outside explanation: a jump in issues and pull requests.
- Dec 13, 2023 to Dec 15, 2023: about 158 more stars than usual, peak 116 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- Jun 19, 2024 to Jun 26, 2024: about 424 more stars than usual, peak 160 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Jan 19, 2025 to Jan 20, 2025: about 109 more stars than usual, peak 85 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- Jun 26, 2025 to Jul 2, 2025: about 253 more stars than usual, peak 92 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- Oct 14, 2025 to Oct 16, 2025: about 95 more stars than usual, peak 70 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- Dec 22, 2025 to Dec 23, 2025: about 85 more stars than usual, peak 79 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- May 12, 2026 to May 13, 2026: about 82 more stars than usual, peak 82 in one day, a spike that tapers off. We couldn't check for an outside explanation.
- 5 stars GitHub has since removed (tracked since Oct 13, 2026).
Anyone can buy stars for any repo; bursts alone don't prove the owner did.
- The star history looks organic.
Sources: How star history is analyzed
Risk
CompleteFlags
- Info: The OpenSSF Scorecard for this project is 2 out of 10 (deps.dev). Details
License
- Now
- MIT (OSI-approved)
- A year ago
- MIT (OSI-approved)
Packages
- labml_nn (PYPI): latest 0.5.1, published Aug 8, 2025
Advisories for the latest version: none listed
Package and advisory data: deps.dev and OSV.
OpenSSF Scorecard: 2.0 out of 10 (via deps.dev).
Sources: GitHub: labmlai/annotated_deep_learning_paper_implementations, deps.dev: PyPI labml_nn
Badge
Add this to a README to show the current verdict:
[](https://reporadar.ai/labmlai/annotated_deep_learning_paper_implementations)Earlier verdicts
- Oct 14, 2026: Healthy
- Oct 13, 2026: Healthy
- Oct 13, 2026: Healthy