T
timber
@kossisoroyce
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
Commit 5 maanden geleden ★ 687
Pijlers en weging
Waarom deze score
- Last commit 163 days ago
- Released within the last 12 months
- Top 69% by stars in AI & ML::Machine Learning Frameworks
Feiten
- Licentie
- NOASSERTION (Licentie onbekend)
- Taal
- Python
- GitHub-sterren
- 687
- Laatste commit
- 2026-04-16 (5 maanden geleden)
- Laatste release
- 2026-04-16T16:06:32Z
- OpenSSF Scorecard
- Nog niet gemeten
- Zelf hosten
- Niet vastgesteld
- Maintainer-locatie
- Onbekend
- Bron
- github-search
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