onnx and onnxmltools
ONNXMLTools is a conversion utility that transforms machine learning models from various frameworks into the ONNX format defined by the core ONNX specification, making them complements that are used together in a conversion pipeline.
About onnx
onnx/onnx
Open standard for machine learning interoperability
This project offers an open-source format for AI models, helping AI developers use different machine learning tools interchangeably. It takes an AI model trained in one framework and converts it into a standardized format, allowing it to be used (especially for scoring/inferencing) in another framework or hardware. AI developers who build and deploy machine learning models are the primary users.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work