This will take a few minutes. Attention: the generated file has a size of approx. 12 GB, so make sure to have enough diskspace. If you're running the challenge with a ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...