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Project comparison
Segmentation Models.pytorch vs Annotated Deep Learning Paper Implementations
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Segmentation Models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Best matched with other framework tools.
11.7K
Stars
+138
Weekly
66/100
Health
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, ... 🧠
Best matched with other framework tools.
67.5K
Stars
+118
Weekly
48/100
Health
Quick Take
Adoption
Annotated Deep Learning Paper Implementations has the larger GitHub footprint with 67.5K stars.
Momentum
Segmentation Models.pytorch is currently growing faster at +138 stars this week.
Maintenance
Segmentation Models.pytorch has the stronger automated maintenance signal at 66/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Segmentation Models.pytorch | Annotated Deep Learning Paper Implementations |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Basic listing· 2026-10-04 09:12 UTC |
| GitHub stars | 11.7K | 67.5K |
| Weekly growth | +138 | +118 |
| Health score | Healthy66/100 | Watch48/100 |
| Contributors | 79 | 42 |
| Commits per week | 9.7 | 0.0 |
| Open issues | 82 | 40 |
| Language | Python | Python |
| License | MIT | MIT |
| Last commit | 2026-08-03 01:43 UTC | 2026-01-22 04:26 UTC |
| Last release | v0.5.0 | N/A |
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