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Project comparison
Transformers Tutorials vs Annotated Deep Learning Paper Implementations
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Transformers Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
Best matched with other framework tools.
11.8K
Stars
+5
Weekly
39/100
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
Annotated Deep Learning Paper Implementations is currently growing faster at +118 stars this week.
Maintenance
Annotated Deep Learning Paper Implementations has the stronger automated maintenance signal at 48/100. 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 | Transformers Tutorials | 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 | 11.8K | 67.5K |
| Weekly growth | +5 | +118 |
| Health score | Caution39/100 | Watch48/100 |
| Contributors | 8 | 42 |
| Commits per week | 0.3 | 0.0 |
| Open issues | 314 | 40 |
| Language | Jupyter Notebook | Python |
| License | MIT | MIT |
| Last commit | 2026-09-17 08:10 UTC | 2026-01-22 04:26 UTC |
| Last release | N/A | N/A |
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