audeering / audonnx

Deploy models in ONNX format
https://audeering.github.io/audonnx/
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machine-learning onnx

======= 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