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audonnx

Deploy models in ONNX format

0.7.0
PyPI
Maintainers
1

======= audonnx

|tests| |coverage| |docs| |python-versions| |license|

audonnx deploys machine learning models stored in ONNX_ format.

Machine learning models can be trained in a variety of frameworks, e.g. scikit-learn_, TensorFlow_, Torch_. To be independent of the training framework and its version models can be exported in ONNX_ format, which enables you to deploy and combine them easily.

audonnx allows you to name inputs and outputs of your model, and automatically loads the correct feature extraction from a YAML file stored with your model.

Have a look at the installation_ and usage_ instructions.

.. _ONNX: https://onnx.ai/ .. _scikit-learn: https://scikit-learn.org .. _TensorFlow: https://www.tensorflow.org .. _Torch: https://pytorch.org/ .. _installation: https://audeering.github.io/audonnx/install.html .. _usage: https://audeering.github.io/audonnx/usage.html

.. badges images and links: .. |tests| image:: https://github.com/audeering/audonnx/workflows/Test/badge.svg :target: https://github.com/audeering/audonnx/actions?query=workflow%3ATest :alt: Test status .. |coverage| image:: https://codecov.io/gh/audeering/audonnx/branch/main/graph/badge.svg?token=UGxnVQiKGK :target: https://codecov.io/gh/audeering/audonnx/ :alt: code coverage .. |docs| image:: https://img.shields.io/pypi/v/audonnx?label=docs :target: https://audeering.github.io/audonnx/ :alt: audonnx's documentation .. |license| image:: https://img.shields.io/badge/license-MIT-green.svg :target: https://github.com/audeering/audonnx/blob/main/LICENSE :alt: audonnx's MIT license .. |python-versions| image:: https://img.shields.io/pypi/pyversions/audonnx.svg :target: https://pypi.org/project/audonnx/ :alt: audonnx's supported Python versions

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