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

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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.