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• Converts a logistic regression into C
• Discrepencies with ONNX
• Einsum decomposition
• Fast TopK elements
• Infer operator computation cost
• Introduction to a numpy API for ONNX: CustomClassifier
• Introduction to a numpy API for ONNX: FunctionTransformer
• Lightgbm, double, discrepencies
• Loss function in ONNX
• Memory usage
• ONNX FFTs
• ONNX and FFT
• ONNX graph, single or double floats
• ONNX side by side
• ONNX visualization
• Pairwise distances with ONNX (pdist)
• Precision loss due to float32 conversion with ONNX
• Profiling with onnxruntime
• Time processing for every ONNX nodes in a graph
• Transfer Learning with ONNX
• Tricky detail when converting a random forest from scikit-learn into ONNX

Converts a logistic regression into C

Discrepencies with ONNX

Einsum decomposition

Fast TopK elements

Infer operator computation cost

Introduction to a numpy API for ONNX: CustomClassifier

Introduction to a numpy API for ONNX: FunctionTransformer

Lightgbm, double, discrepencies

Loss function in ONNX

Memory usage

ONNX FFTs

ONNX and FFT

ONNX graph, single or double floats

ONNX side by side

ONNX visualization

Pairwise distances with ONNX (pdist)

Precision loss due to float32 conversion with ONNX

Profiling with onnxruntime

Time processing for every ONNX nodes in a graph

Transfer Learning with ONNX

Tricky detail when converting a random forest from scikit-learn into ONNX

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Converts a logistic regression into C