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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, ... 🧠

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Python
67.7k
6.9k
40 contributors
MIT License
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Momentum

How fast labmlai/annotated_deep_learning_paper_implementations is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 5 – Nov 4, 2026

Stars +299 in 61 days

01020
18

Forks +87 in 61 days

0510
9

Merged PRs 1 in 61 days

01
1

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 5Sep 13Sep 21Sep 29Oct 7Oct 15Oct 23Oct 31
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Sat, Sep 5, 2026+4+10
Sun, Sep 6, 2026+0+30
Mon, Sep 7, 2026+2+00
Tue, Sep 8, 2026+5+20
Wed, Sep 9, 2026+3+00
Thu, Sep 10, 2026+13+20
Fri, Sep 11, 2026+5+20
Sat, Sep 12, 2026+6+00
Sun, Sep 13, 2026+8+10
Mon, Sep 14, 2026+8+10
Tue, Sep 15, 2026+6+10
Wed, Sep 16, 2026+0+00
Thu, Sep 17, 2026+7+10
Fri, Sep 18, 2026+3+10
Sat, Sep 19, 2026+9+00
Sun, Sep 20, 2026+7+10
Mon, Sep 21, 2026+8+30
Tue, Sep 22, 2026+14+10
Wed, Sep 23, 2026+5+00
Thu, Sep 24, 2026+2+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+20
Sun, Sep 27, 2026+3+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+5+20
Wed, Sep 30, 2026+0+20
Thu, Oct 1, 2026+1+10
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+4+00
Sun, Oct 4, 2026+4+00
Mon, Oct 5, 2026+5+00
Tue, Oct 6, 2026+8+10
Wed, Oct 7, 2026+5+00
Thu, Oct 8, 2026+6+10
Fri, Oct 9, 2026+1+00
Sat, Oct 10, 2026+7+00
Sun, Oct 11, 2026+1+00
Mon, Oct 12, 2026+0+10
Tue, Oct 13, 2026+3+10
Wed, Oct 14, 2026+4+00
Thu, Oct 15, 2026+4+00
Fri, Oct 16, 2026+2+00
Sat, Oct 17, 2026+4+10
Sun, Oct 18, 2026+6+10
Mon, Oct 19, 2026+8+20
Tue, Oct 20, 2026+1+00
Wed, Oct 21, 2026+3+10
Thu, Oct 22, 2026+5+40
Fri, Oct 23, 2026+5+20
Sat, Oct 24, 2026+4+10
Sun, Oct 25, 2026+3+21
Mon, Oct 26, 2026+0+90
Tue, Oct 27, 2026+6+30
Wed, Oct 28, 2026+0+20
Thu, Oct 29, 2026+0+50
Fri, Oct 30, 2026+11+70
Sat, Oct 31, 2026+9+20
Sun, Nov 1, 2026+13+40
Mon, Nov 2, 2026+18+60
Tue, Nov 3, 2026+18+40
Wed, Nov 4, 2026+7+00
Total+299+871
  • 1#1 on the list
  • 7Rank that day
  • Not trending
10

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Python

    Aug 7, 2024 – Nov 4, 2026Best #10

    #1#5#10#15#20#25
    Top 10
    Sep 2024MarSepMarSep
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about labmlai/annotated_deep_learning_paper_implementations, and every badge it has earned
    1. Sep 221 post

      • • See how AI models work step by step • Includes transformers, image generators, and game-playing AI • Notes appear beside code for easier understanding

        Read full on X, posted by @the_osps

        @the_osps · x.com

    2. 9 days earlier
    3. Sep 131 post

      • 10个GitHub仓库，够你从零摸到AI工程。全免费！ 1.微软ML for Beginners 十二周项目课，用真实数据学传统机器学习，有测验、有视频。 2.微软 AI for Beginners 神经网络、NLP、视觉、Transformer，PyTorch和TensorFlow的实验都有。 3.Karpathy Neural Networks Zero to Hero…

        Read full on X, posted by @shanyanggm

        @shanyanggm · x.com

    4. Sep 111 post

      • • 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝 • including transformers (original, xl, switch, feedback, vit, • ), optimizers (adam, adabelief, sophia,

        Read full on X, posted by @the_osps

        @the_osps · x.com

    5. 2 months earlier
    6. Jul 101 post

      • Deep Learning Paper Implementations A collection of simple PyTorch implementations of neural networks and related algorithms, documented with explanations and side-by-side notes. --- While I am still…

        Read full on X, posted by @DanKornas

        @DanKornas · x.com

    7. 27 days earlier
    8. Jun 131 post

      • Made With ML Check here:

        Read full on X, posted by @techNmak

        @techNmak · x.com

    9. 19 days earlier
    10. May 251 post

      • Demystify complex AI architectures with side-by-side PyTorch code and math 📝 • Step-by-step annotated PyTorch code 💻 📦 annotated_deep_learning_paper_implementations ⭐ 66,821 🐍 Python…

        Read full on X, posted by @Marco_Ramilli

        @Marco_Ramilli · x.com

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