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onnx/tensorflow-onnx

A model conversion tool that exports TensorFlow, Keras, TensorFlow.js and TFLite models to the ONNX format.

2.5k stars Jupyter Notebook ML Frameworks
tensorflow-onnx
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tf2onnx is a converter utility that transforms deep learning models from TensorFlow (2.x), Keras, TensorFlow.js, and TFLite formats into the ONNX (Open Neural Network Exchange) standard. It operates via both command-line interface and Python API, enabling interoperability between different ML frameworks and deployment targets. The tool maps TensorFlow operations to ONNX opsets 14-18 and is part of the broader ONNX ecosystem maintained by the ONNX project.

Frequently asked

What is onnx/tensorflow-onnx?
A model conversion tool that exports TensorFlow, Keras, TensorFlow.js and TFLite models to the ONNX format.
Is tensorflow-onnx open source?
Yes — onnx/tensorflow-onnx is open source, released under the Apache-2.0 license.
What language is tensorflow-onnx written in?
onnx/tensorflow-onnx is primarily written in Jupyter Notebook.
How popular is tensorflow-onnx?
onnx/tensorflow-onnx has 2.5k stars on GitHub.
Where can I find tensorflow-onnx?
onnx/tensorflow-onnx is on GitHub at https://github.com/onnx/tensorflow-onnx.

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