Notebook Gallery¶

Notebooks Coverage

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  • Converts a logistic regression into C
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  • Discrepencies with ONNX
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  • Fast TopK elements
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  • Memory usage
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  • ONNX graph, single or double floats
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  • ONNX side by side
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  • ONNX visualization
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  • Pairwise distances with ONNX (pdist)
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  • Precision loss due to float32 conversion with ONNX
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  • Time processing for every ONNX nodes in a graph
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  • TopK benchmark
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  • Transfer Learning with ONNX
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  • TreeEnsembleRegressor and parallelisation
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  • Tricky detail when converting a random forest from scikit-learn into ONNX
_images/sklearn_grammar_lr.thumb.png

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_images/onnx_discrepencies.thumb.png

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_images/topk_cpp.thumb.png

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_images/onnx_profile.thumb.png

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_images/onnx_float32_and_64.thumb.png

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_images/onnx_sbs.thumb.png

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_images/onnx_visualization.thumb.png

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_images/onnx_pdist.thumb.png

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_images/onnx_shaker.thumb.png

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_images/onnx_node_time.thumb.png

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_images/onnx_topk.thumb.png

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_images/transfer_learning.thumb.png

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_images/onnx_tree_ensemble_parallel.thumb.png

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_images/onnx_float_double_skl_decision_trees.thumb.png

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