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Conversion of a logistic regression into C

Measure ONNX runtime performances

Profile the execution of a runtime

Grid search ONNX models

Merges benchmarks

Speed up scikit-learn inference with ONNX

Compares numba, numpy, onnxruntime for simple functions

Benchmark Random Forests, Tree Ensemble

Compares implementations of ReduceMax

Compares implementations of Add

Compares implementations of ReduceSumSquare

Compares implementations of ReduceMean

Compares implementations of Tranpose

When to parallelize?

Compares implementations of ReduceSum

Compares implementations of Where

Compares implementations of Einsum

TopK benchmark

Benchmark Linear Regression

Benchmark Random Forests, Tree Ensemble, (AoS and SoA)

Benchmark Random Forests, Tree Ensemble, Multi-Classification

TreeEnsembleRegressor and parallelisation

Gallery of examples¶

Conversion of a logistic regression into C — Conversion of a logistic regression into C¶

Measure ONNX runtime performances — Measure ONNX runtime performances¶

Profile the execution of a runtime¶

Grid search ONNX models — Grid search ONNX models¶

Merges benchmarks — Merges benchmarks¶

Speed up scikit-learn inference with ONNX — Speed up scikit-learn inference with ONNX¶

Compares numba, numpy, onnxruntime for simple functions — Compares numba, numpy, onnxruntime for simple functions¶

Benchmark Random Forests, Tree Ensemble — Benchmark Random Forests, Tree Ensemble¶

Compares implementations of ReduceMax — Compares implementations of ReduceMax¶

Compares implementations of Add — Compares implementations of Add¶

Compares implementations of ReduceSumSquare — Compares implementations of ReduceSumSquare¶

Compares implementations of ReduceMean — Compares implementations of ReduceMean¶

Compares implementations of Tranpose — Compares implementations of Tranpose¶

When to parallelize? — When to parallelize?¶

Compares implementations of ReduceSum — Compares implementations of ReduceSum¶

Compares implementations of Where — Compares implementations of Where¶

Compares implementations of Einsum — Compares implementations of Einsum¶

TopK benchmark — TopK benchmark¶

Benchmark Linear Regression — Benchmark Linear Regression¶

Benchmark Random Forests, Tree Ensemble, (AoS and SoA) — Benchmark Random Forests, Tree Ensemble, (AoS and SoA)¶

Benchmark Random Forests, Tree Ensemble, Multi-Classification — Benchmark Random Forests, Tree Ensemble, Multi-Classification¶

TreeEnsembleRegressor and parallelisation — TreeEnsembleRegressor and parallelisation¶

Download all examples in Python source code: gyexamples_python.zip

Download all examples in Jupyter notebooks: gyexamples_jupyter.zip

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Conversion of a logistic regression into C

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