onnx/tutorials resource

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3708 stars · 657 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of Jupyter Notebook tutorials for creating, converting, and using ONNX (Open Neural Network Exchange) machine learning models. It covers exporting models from frameworks like PyTorch, TensorFlow, Keras, scikit-learn, and more into the ONNX format.

Use cases

• convert a pytorch model to onnx
• export a tensorflow keras model to onnx format
• learn how to run onnx models for inference
• convert scikit-learn models to onnx
• get started with the onnx model format
• deploy models across frameworks using onnx

When to choose

• you need step-by-step notebooks for exporting models from various ML frameworks to ONNX
• you want to learn ONNX model interoperability across PyTorch, TensorFlow, scikit-learn and others
• you are looking for official ONNX conversion examples and best practices

When to avoid

• you need the ONNX runtime or format specification itself rather than tutorials
• you want pre-trained ONNX models instead of conversion guides (see the ONNX Model Zoo)
• you need production tooling rather than educational notebooks

Facets

learning-resource · maturity active

machine-learning documentation developer-tools machine-learning tutorials deep-learning developer-tools python cross-platform onnx jupyter-notebooks model-conversion model-export interoperability

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