ONNX (Open Neural Network Exchange) is an open-source format for representing machine learning models. It enables seamless model interoperability between popular deep learning frameworks like PyTorch, TensorFlow, and scikit-learn, allowing developers to train a model in one framework and deploy it in another.

Features of ONNX:

Interoperable format supported by leading AI frameworks.
Supports both traditional ML and deep learning models.
Optimized runtimes available for CPU, GPU, and edge devices.
Extensible and designed for performance at scale.
Active open-source community and wide industry adoption.

To test the ONNX installation:


  $ source venv/bin/activate
  $ python3
  >>> import onnx
  >>> print(onnx.__version__)

Disclaimer: ONNX is an open-source project originally developed by Microsoft and Facebook. This marketplace listing is not affiliated with or endorsed by the ONNX Project or its contributors. The software is provided “as is” without warranties or guarantees. Users are responsible for compliance with all applicable licenses and regulations.

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