ONNX is the common format that lets a model trained in PyTorch run in a C++ runtime, on mobile, or on an edge accelerator.
From the README
pip install onnx # or pip install onnx[reference] for optional reference implementation dependencies
- Documentation of ONNX Python Package
- Tutorials for creating ONNX models
- Pre-trained ONNX models
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeOpen standard for machine learning interoperability
onnx has 21.2k stars on GitHub. It has been forked 4k times. onnx is written mainly in Python. It has been in active development since 2017. onnx is available under the Apache-2.0 license. Its main topics are ai, artificial-intelligence, deep-learning, deep-neural-networks.
Read the full guideWhat is onnx?
Open standard for machine learning interoperability
Is onnx open source?
onnx is an open-source project. It is released under the Apache-2.0 license.
Is onnx free?
Yes. onnx is free and open source — you can use, modify and self-host it.
What license does onnx use?
onnx is available under the Apache-2.0 license.
What language is onnx written in?
onnx is written mainly in Python.
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