Skip to content

Examples for using ONNX Runtime for machine learning inferencing.

License

Notifications You must be signed in to change notification settings

miniTsl/onnxruntime-inference-examples

 
 

Repository files navigation

ONNX Runtime Inference Examples



This repo has examples that demonstrate the use of ONNX Runtime (ORT) for inference.

Examples

Outline the examples in the repository.

Example Description Pipeline Status
C/C++ examples Examples for ONNX Runtime C/C++ APIs Linux-CPU Windows-CPU
Mobile examples Examples that demonstrate how to use ONNX Runtime in mobile applications. Build Status
JavaScript API examples Examples that demonstrate how to use JavaScript API for ONNX Runtime.
Quantization examples Examples that demonstrate how to use quantization for CPU EP and TensorRT EP

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

About

Examples for using ONNX Runtime for machine learning inferencing.

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 26.3%
  • C++ 20.3%
  • Jupyter Notebook 19.4%
  • C# 16.1%
  • Swift 7.7%
  • Kotlin 2.8%
  • Other 7.4%