onnx2tf and onnxmltools
These are complementary tools in sequence: onnxmltools converts models *into* the ONNX format, while onnx2tf converts ONNX models *out of* that format into TensorFlow/TFLite, making them part of a conversion pipeline rather than alternatives.
About onnx2tf
PINTO0309/onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
This tool helps machine learning engineers and researchers convert their trained AI models from the ONNX format into various other formats like TensorFlow, TFLite, Keras, or PyTorch. You provide an ONNX model file as input and receive a functionally equivalent model in your desired target framework. This is crucial for deploying models across different platforms or integrating them into diverse software environments.
About onnxmltools
onnx/onnxmltools
ONNXMLTools enables conversion of models to ONNX
This tool helps machine learning engineers and data scientists convert their trained models from various frameworks like scikit-learn, TensorFlow, or Core ML into the ONNX format. You provide a model trained in one of the supported toolkits, and it outputs an equivalent model in the ONNX standard format. This allows for easier deployment and portability across different inference runtimes and hardware.
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