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

Timber is an AOT compiler that converts trained tree-based ML models (XGBoost, LightGBM, scikit-learn, CatBoost, ONNX) into optimized native C99 code and serves them via a local HTTP API. It eliminates the Python runtime from the inference path, achieving microsecond latency (~2 µs native call vs. hundreds of µs with Python). Show more