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

A converter for a TransformedTargetRegressor

A converter for a TransformedTargetRegressor

Walk through all methods to export an ONNX model

Walk through all methods to export an ONNX model

Profile the execution of a runtime

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

Benchmark Random Forests, Tree Ensemble

Benchmark Random Forests, Tree Ensemble

Compares numba, numpy, onnxruntime for simple functions

Compares numba, numpy, onnxruntime for simple functions

Compares implementations of Add

Compares implementations of Add

Compares implementations of ReduceMax

Compares implementations of ReduceMax

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