onnxruntime and onnxconverter-common
These are complements: onnxconverter-common provides shared conversion utilities that multiple ONNX converters depend on to transform models into ONNX format, which ONNX Runtime then executes across platforms.
About onnxruntime
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
This helps machine learning engineers and data scientists deploy and train their models more efficiently. It takes trained machine learning models from frameworks like PyTorch or TensorFlow, or classical ML libraries, and outputs faster predictions or quicker training times. It's for anyone building or running ML models who needs to optimize performance across different 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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work