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.

语言：Python · GitHub 星标：690 · Fork：23

话题：c99 · catboost · compiler · decision-trees · gradient-boosting · inference · lightgbm · machine-learning

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