Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
🧑🏫 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, ... 🧠
Best matched with other framework tools.
Annotated Deep Learning Paper Implementations has the larger GitHub footprint with 67.4K stars.
Annotated Deep Learning Paper Implementations is currently growing faster at +19 stars this week.
Annotated Deep Learning Paper Implementations has the stronger automated maintenance signal at 48/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Nndl | Annotated Deep Learning Paper Implementations |
|---|---|---|
| Evidence status | Basic listing· 1d ago | Basic listing· 1d ago |
| GitHub stars | 19.0K | 67.4K |
| Weekly growth | +8 | +19 |
| Health score | Caution35/100 |
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| Contributors | 9 | 42 |
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| Commits per week | 0.5 | 0.0 |
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| Open issues | 1 | 36 |
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| Language | N/A | Python |
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| License | N/A | MIT |
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| Last commit | 3mo ago | 7mo ago |
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| Last release | book-pdf | N/A |
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