onnxmltools
ONNXMLTools enables the conversion of machine learning models from toolkits like TensorFlow, scikit-learn, and Core ML into the ONNX format, supporting frameworks such as LightGBM, XGBoost, and CatBoost. This tool improves model interoperability and deployment across platforms. Installation via PyPi or source builds are available, with Python 3.7+ compatibility and specific framework dependencies. Detailed examples and extensive testing bolster reliability in model conversions.
