| Name | audonnx JSON |
| Version |
0.7.0
JSON |
| download |
| home_page | |
| Summary | Deploy models in ONNX format |
| upload_time | 2023-12-18 10:47:30 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | |
| license | MIT License Copyright (c) 2018-2021 audEERING GmbH and Contributors Authors: Johannes Wagner Hagen Wierstorf Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
mlops
machine learning
onnx
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
=======
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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"description": "=======\naudonnx\n=======\n\n|tests| |coverage| |docs| |python-versions| |license|\n\n**audonnx** deploys machine learning models stored in ONNX_ format.\n\nMachine learning models can be trained\nin a variety of frameworks,\ne.g. scikit-learn_, TensorFlow_, Torch_.\nTo be independent of the training framework\nand its version models can be exported in ONNX_ format,\nwhich enables you to deploy and combine them easily.\n\n**audonnx** allows you to name inputs and outputs\nof your model,\nand automatically loads the correct feature extraction\nfrom a YAML file stored with your model.\n\nHave a look at the installation_ and usage_ instructions.\n\n.. _ONNX: https://onnx.ai/\n.. _scikit-learn: https://scikit-learn.org\n.. _TensorFlow: https://www.tensorflow.org\n.. _Torch: https://pytorch.org/\n.. _installation: https://audeering.github.io/audonnx/install.html\n.. _usage: https://audeering.github.io/audonnx/usage.html\n\n\n.. badges images and links:\n.. |tests| image:: https://github.com/audeering/audonnx/workflows/Test/badge.svg\n :target: https://github.com/audeering/audonnx/actions?query=workflow%3ATest\n :alt: Test status\n.. |coverage| image:: https://codecov.io/gh/audeering/audonnx/branch/main/graph/badge.svg?token=UGxnVQiKGK\n :target: https://codecov.io/gh/audeering/audonnx/\n :alt: code coverage\n.. |docs| image:: https://img.shields.io/pypi/v/audonnx?label=docs\n :target: https://audeering.github.io/audonnx/\n :alt: audonnx's documentation\n.. |license| image:: https://img.shields.io/badge/license-MIT-green.svg\n :target: https://github.com/audeering/audonnx/blob/main/LICENSE\n :alt: audonnx's MIT license\n.. |python-versions| image:: https://img.shields.io/pypi/pyversions/audonnx.svg\n :target: https://pypi.org/project/audonnx/\n :alt: audonnx's supported Python versions\n",
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