## 1. Project Overview & Quickstart (microsoft/onnxruntime)

**ONNX Runtime is a cross-platform inference and training machine-learning accelerator**.

**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)

**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)

## Get Started & Resources

* **General Information**: [onnxruntime.ai](https://onnxruntime.ai)

* **Usage documentation and tutorials**: [onnxruntime.ai/docs](https://onnxruntime.ai/docs)

* **YouTube video tutorials**: [youtube.com/@ONNXRuntime](https://www.youtube.com/@ONNXRuntime)

* [**Upcoming Release Roadmap**](https://onnxruntime.ai/roadmap)

* **Companion sample repositories**:
  - 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)

* **Plugin EP repositories**:
  - ONNX Runtime QNN Plugin EP: [onnxruntime/onnxruntime-qnn](https://github.com/onnxruntime/onnxruntime-qnn)

## 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.

## Data/Telemetry

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.

## Contributions and Feedback

We welcome contributions! Please see the [contribution guidelines](CONTRIBUTING.md).

For feature requests or bug reports, please file a [GitHub Issue](https://github.com/Microsoft/onnxruntime/issues).

For general discussion or questions, please use [GitHub Discussions](https://github.com/microsoft/onnxruntime/discussions).

## Code of Conduct

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.

## License

This project is licensed under the [MIT License](LICENSE).

## 2. Official Technical Reference & Guides (microsoft/microsoft.github.io)

[microsoft.github.io](https://microsoft.github.io)
===================

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If we can help answer questions about the open source program at Microsoft, you can
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## Microsoft GitHub resources

- Default repo templates including `SECURITY.MD` and code of conduct files: [microsoft/repo-templates](https://github.com/microsoft/repo-templates)
- [Code of Conduct](https://opensource.microsoft.com/codeofconduct) ([FAQ](https://opensource.microsoft.com/codeofconduct/faq/))

## Microsoft open source resources

- [Open Source Blog](https://cloudblogs.microsoft.com/opensource/)
- [The Open Source Show on Channel 9](https://channel9.msdn.com/Shows/The-Open-Source-Show)
- [https://opensource.microsoft.com/](https://opensource.microsoft.com/)

## Resources for Microsoft employees

- [docs.opensource.microsoft.com](https://docs.opensource.microsoft.com)
- [Link your GitHub Account and join GitHub organizations automatically](https://repos.opensource.microsoft.com)

## How to identify an official Microsoft organization on GitHub

- Official Microsoft GitHub orgs have a professional avatar and include a web address at Microsoft.com or an associated official domain
- Official Microsoft orgs are [Verified on GitHub](https://github.blog/changelog/2018-08-07-domain-verification/) - look for the domain verification indicator on GitHub