onnxmltools and onnxconverter-common
The former provides common utilities that could be used by various ONNX converters, while the latter is a specific tool that enables the conversion of models to ONNX, making them complements where the former could potentially provide underlying components for the latter.
About onnxmltools
onnx/onnxmltools
ONNXMLTools enables conversion of models to ONNX
This tool helps machine learning engineers and data scientists convert their trained models from various frameworks like scikit-learn, TensorFlow, or Core ML into the ONNX format. You provide a model trained in one of the supported toolkits, and it outputs an equivalent model in the ONNX standard format. This allows for easier deployment and portability across different inference runtimes and hardware.
About onnxconverter-common
microsoft/onnxconverter-common
Common utilities for ONNX converters
This tool helps developers who are integrating AI models built with different frameworks into a single application. It takes models trained in various AI frameworks (like scikit-learn or XGBoost) and converts them into the ONNX format, allowing them to work together seamlessly. This is for developers building and deploying AI solutions that use a mix of machine learning technologies.
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