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.

onnxruntime
93
Verified
onnxconverter-common
69
Established
Maintenance 22/25
Adoption 21/25
Maturity 25/25
Community 25/25
Maintenance 6/25
Adoption 15/25
Maturity 25/25
Community 23/25
Stars: 19,534
Forks: 3,759
Downloads: 474
Commits (30d): 172
Language: C++
License: MIT
Stars: 295
Forks: 70
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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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.

machine-learning-deployment model-optimization deep-learning-inference ml-model-training data-science-workflow

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.

AI model deployment Machine learning engineering Model interoperability AI framework integration Software development

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