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🧑🏫 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, ... 🧠
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As of June 21, 2026, labmlai/annotated_deep_learning_paper_implementations has 67.0k GitHub stars. GitStarClub tracks its Python profile, 10k in July 2022 and 50k in June 2024, and latest recorded month of May 2026 with +36 stars, combining identity, milestone, current-star, and monthly curve fields for answerable repository history without runtime inference. - GitStarClub
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As of June 21, 2026, GitStarClub records labmlai/annotated_deep_learning_paper_implementations crossing 10k in July 2022 and 50k in June 2024. These milestone dates come from frozen repository fields and link back to the matching monthly ranking pages. Source: GitStarClub repository star history.
Monthly ranking periods where this repository appeared in the precomputed GitStarClub flow rankings.
Owner, category, similar repository, and ranking-period routes connected to this repository.
As of June 21, 2026, labmlai/annotated_deep_learning_paper_implementations has 67.0k GitHub stars. GitStarClub reads that value from GitStarClub's precomputed repository data.
labmlai/annotated_deep_learning_paper_implementations is shown as a Python repository owned by labmlai. The page also links to the owner profile and matching category pages when those fields are present.
labmlai/annotated_deep_learning_paper_implementations crossed 10k in July 2022 and 50k in June 2024 according to frozen milestone fields in GitStarClub's precomputed repository data.
The latest precomputed monthly point for labmlai/annotated_deep_learning_paper_implementations says May 2026 recorded +36 stars and ended at 66.8k total stars. The chart and recent table are rendered from the same curve fields.
No. GitStarClub renders this repository FAQ from deterministic templates over GitStarClub's precomputed data, without runtime AI, search, or a database.