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 →
**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 →
## Get Started & Resources
* **General Information**: onnxruntime.ai
* **Usage documentation and tutorials**: onnxruntime.ai/docs
* **YouTube video tutorials**: youtube.com/@ONNXRuntime
* **Upcoming Release Roadmap**
* **Companion sample repositories**:
 - ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples
 - ONNX Runtime Training: microsoft/onnxruntime-training-examples
* **Plugin EP repositories**:
 - ONNX Runtime QNN Plugin EP: 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 for more details.
## Contributions and Feedback
We welcome contributions! Please see the contribution guidelines.
For feature requests or bug reports, please file a GitHub Issue.
For general discussion or questions, please use GitHub Discussions.
## Code of Conduct
This project has adopted the Microsoft Open Source Code of Conduct.
For more information see the Code of Conduct FAQ
or contact opencode@microsoft.com with any additional questions or comments.
## License
This project is licensed under the MIT License.