onnx and tensorflow-onnx
The ONNX specification defines the interoperability standard, while tensorflow-onnx is a converter tool that enables TensorFlow models to be deployed using that standard—making them complementary tools used together in a conversion workflow.
About onnx
onnx/onnx
Open standard for machine learning interoperability
Defines an extensible computation graph IR with built-in operators and standard data types, enabling model serialization and inference across PyTorch, TensorFlow, scikit-learn, and other frameworks. Provides shape/type inference, graph optimization, and opset version conversion utilities for seamless model portability from research to production deployment.
About tensorflow-onnx
onnx/tensorflow-onnx
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
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