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, ... 🧠

66.3k 6.7k +3/wk

GitHub

attention deep-learning deep-learning-tutorial gan literate-programming lora machine-learning neural-networks optimizers pytorch reinforcement-learning transformer

Trend 3

Star & Fork Trend (40 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 66.3k

forks 6.7k

Growth Velocity

labmlai/annotated_deep_learning_paper_implementations has +3 stars this period . 7-day velocity: 0.0%.

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Metric	annotated_deep_learning_paper_implementations	scikit-learn	OpenBB	keras
Stars	66.3k	65.7k	65.6k	63.9k
Forks	6.7k	26.9k	6.5k	19.7k
Weekly Growth	+3	+10	+49	+7
Language	Python	Python	Python	Python
Sources	1	3	2	2
License	MIT	BSD-3-Clause	NOASSERTION	Apache-2.0

Capability Radar vs scikit-learn

annotated_deep_learning_paper_implementations

scikit-learn

Maintenance Activity 60

Last code push 77 days ago.

Community Engagement 50

Fork-to-star ratio: 10.1%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 40

+3 stars this period — 0.00% growth rate.

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.