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  • Conversion of a logistic regression into C
  • Measure ONNX runtime performances
  • Walk through all methods to export an ONNX model
  • Profile the execution of a runtime
  • Grid search ONNX models
  • Merges benchmarks
  • Speed up scikit-learn inference with ONNX
  • Benchmark Random Forests, Tree Ensemble
  • Compares numba, numpy, onnxruntime for simple functions
  • Compares implementations of Add
  • Compares implementations of ReduceMax
  • 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#

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#

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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