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.

207 best points · 33 comments · 1 Hacker News post · 690 GitHub stars · View on GitHub

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• Show HN: Timber – Ollama for classical ML models, 336x faster than Python (207 points, 33 comments, by kossisoroyce, 2026-03-02)