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**ONNX Runtime is a cross-platform inference and training machine-learning accelerator**.
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**ONNX Runtime inference** can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. [Learn more → ](https://www.onnxruntime.ai/docs/#onnx-runtime-for-inferencing )
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**ONNX Runtime training** can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. [Learn more → ](https://www.onnxruntime.ai/docs/#onnx-runtime-for-training )
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## Get Started & Resources
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* **General Information**: [onnxruntime.ai ](https://onnxruntime.ai )
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* **Usage documentation and tutorials**: [onnxruntime.ai/docs ](https://onnxruntime.ai/docs )
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* **YouTube video tutorials**: [youtube.com/@ONNXRuntime ](https://www.youtube.com/@ONNXRuntime )
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* [**Upcoming Release Roadmap** ](https://onnxruntime.ai/roadmap )
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* **Companion sample repositories**:
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- ONNX Runtime Inferencing: [microsoft/onnxruntime-inference-examples ](https://github.com/microsoft/onnxruntime-inference-examples )
- ONNX Runtime Training: [microsoft/onnxruntime-training-examples ](https://github.com/microsoft/onnxruntime-training-examples )
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## Builtin Pipeline Status
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|System|Inference|Training|
|---|---|---|
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|Windows|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=9)< br > [](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=218)< br > [](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=47)< br > [](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=228)||
|Linux|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=11)< br > [](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=64)< br > [](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=12)< br > [](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=45)< br > [](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=55)|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=86)< br > [](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=84)|
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|Mac|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=13)||
|Android|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=53)||
|iOS|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=134)||
|Web|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=161)||
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|Other|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=187& repoName=microsoft%2Fonnxruntime)||
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This project is tested with [BrowserStack ](https://www.browserstack.com/home ).
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## Third-party Pipeline Status
|System|Inference|Training|
|---|---|---|
|Linux|[](https://github.com/Ascend/onnxruntime/actions/workflows/build-and-test.yaml)||
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## Releases
The current release and past releases can be found here: https://github.com/microsoft/onnxruntime/releases.
For details on the upcoming release, including release dates, announcements, features, and guidance on submitting feature requests, please visit the release roadmap: https://onnxruntime.ai/roadmap.
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## Data/Telemetry
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Windows distributions of this project may collect usage data and send it to Microsoft to help improve our products and services. See the [privacy statement ](docs/Privacy.md ) for more details.
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## Contributions and Feedback
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We welcome contributions! Please see the [contribution guidelines ](CONTRIBUTING.md ).
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For feature requests or bug reports, please file a [GitHub Issue ](https://github.com/Microsoft/onnxruntime/issues ).
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For general discussion or questions, please use [GitHub Discussions ](https://github.com/microsoft/onnxruntime/discussions ).
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## Code of Conduct
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This project has adopted the [Microsoft Open Source Code of Conduct ](https://opensource.microsoft.com/codeofconduct/ ).
For more information see the [Code of Conduct FAQ ](https://opensource.microsoft.com/codeofconduct/faq/ )
or contact [opencode@microsoft.com ](mailto:opencode@microsoft.com ) with any additional questions or comments.
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## License
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This project is licensed under the [MIT License ](LICENSE ).
