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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero01K2KApr 26Nov 3, 2026labmlai/annotated_deep_learning_paper_implementationsbigscience-workshop/petals
Stars: The star count at the end of each dayStarsThe star count at the end of each day25K50KApr 26Nov 3, 2026labmlai/annotated_deep_learning_paper_implementationsbigscience-workshop/petals

Facts

Factlabmlai/annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bigscience-workshop/petals

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Stars67,65410,685
Net stars, last 30 days+189+88
Largest star day+82 on May 12, 2026+48 on Jul 20, 2026
Milestone reached in the recordNoneNone
Forks6,788650
LanguagePythonPython
LicenseMITMIT
CreatedAug 25, 2020Jun 12, 2022
Last pushNov 2, 2026Sep 7, 2024
ArchivedNoNo
Health facts: Maintenance3 of 4 checks1 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks1 of 3 checks (2 without data)
Commits, last 13 weeks5No data
Weeks with commits, last 524 of 52No data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, pytorch, neural-networks, transformer, machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone; AwesomeRepos does not add them into one score. How each check is defined

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