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, ... 🧠

67.8k
Stars
6.8k
Forks
73.7
Radar Score
Accelerating
Momentum

Scoring Breakdown

Impact98.8
Velocity58.3
Health55.2

Growth Metrics

7-Day Stars
+76
30-Day Stars
+191
Acceleration
1.53x
Language
Python

Why it ranks

Strong momentum — adoption is accelerating week over week.

AI InfrastructureTop 60% globallyLast push 9d ago+76 stars / 7d+191 stars / 30d

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
74%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
73.7
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Issue engagement: 29 open issues for 67,748 stars (0.0%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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