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GitHub - kossisoroyce/timber: 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.

github.com · first added by @hnl · 2026-03-06 · 1 upvotes

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─── In 1 list ──────────────────────────────────────────

* Issue #785 by @hnl [data]

─── Discussions ────────────────────────────────────────

* Show HN: Timber – Ollama for classical ML models, 336x faster than Python
207 pts · 33 comments · node

─── From the discussion ────────────────────────────────

* grafting.py
gist.github.com · node

─── Also saved alongside this ──────────────────────────

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