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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, 2026BlinkDL/RWKV-LMlabmlai/annotated_deep_learning_paper_implementations
Stars: The star count at the end of each dayStarsThe star count at the end of each day25K50KApr 26Nov 3, 2026BlinkDL/RWKV-LMlabmlai/annotated_deep_learning_paper_implementations

Facts

FactBlinkDL/RWKV-LM

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

labmlai/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, ... 🧠

Stars14,77167,672
Net stars, last 30 days+42+206
Largest star day+8 on Jun 30, 2026+82 on May 12, 2026
Milestone reached in the recordNoneNone
Forks1,0266,781
LanguagePythonPython
LicenseAPACHE-2.0MIT
CreatedAug 8, 2021Aug 25, 2020
Last pushOct 31, 2026Nov 2, 2026
ArchivedNoNo
Health facts: Maintenance4 of 4 checks3 of 4 checks
Health facts: Releases0 of 3 checks0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check0 of 1 check
Health facts: Community files1 of 3 checks1 of 3 checks
Commits, last 13 weeks125
Weeks with commits, last 5232 of 524 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, pytorch, transformer, transformers. 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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