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annotated_deep_learning_paper_implementations

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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, ... 🧠

Description provenance: Original source

Open canonical source

Measured: Oct 31, 2026 · 7 observations

Domains & Uses

Domains
AI / LLM

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/labmlai/annotated_deep_learning_paper_implementations

Classifications

Nature
Resource

Measurement history

Comparable readings are grouped by signal and unit.

Stars

67,615stars · Oct 31, 2026

+17 (0 %)since Oct 25, 2026

Oct 25, 2026 : 67,598 starsOct 26, 2026 : 67,600 starsOct 27, 2026 : 67,601 starsOct 28, 2026 : 67,606 starsOct 29, 2026 : 67,603 starsOct 30, 2026 : 67,605 starsOct 31, 2026 : 67,615 stars
Exact values · 7 readings
MeasuredstarsChange
67,615+10
67,605+2
67,603-3
67,606+5
67,601+1
67,600+2
67,598·