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36 lines
1 KiB
ReStructuredText
36 lines
1 KiB
ReStructuredText
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.. only:: md
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Gallery of examples
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===================
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The first series of examples briefly goes into the main
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feature *ONNX Runtime* implements. Each of them run in a
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few seconds and relies on machine learned models
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trained with `scikit-learn <http://scikit-learn.org/stable/>`_.
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.. toctree::
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:maxdepth: 1
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:caption: Contents:
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auto_examples/plot_load_and_predict
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auto_examples/plot_common_errors
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auto_examples/plot_train_convert_predict
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auto_examples/plot_pipeline
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auto_examples/plot_backend
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auto_examples/plot_convert_pipeline_vectorizer
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auto_examples/plot_metadata
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auto_examples/plot_profiling
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The second series is about deep learning.
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Once converted to *ONNX*, the predictions can be
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computed with *onnxruntime* without having any
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dependencies on the framework used to train the model.
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.. toctree::
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:maxdepth: 1
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:caption: Contents:
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auto_examples/plot_dl_keras
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