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@ -136,7 +136,7 @@ Microsoft contributing libraries, tools, recipes, sample codes and workshop cont
- [Secure Data Sandbox](https://github.com/microsoft/secure-data-sandbox) - A toolkit for conducting machine learning trials against confidential data.
- [shrike](https://azure.github.io/shrike/) - Python utilities to aid "compliant experiment" in Azure Machine Learning - training ML models without seeing the training data.
- [HAX Toolkit](http://aka.ms/haxtoolkit) - The Human-AI eXperience (HAX) Toolkit is a set of practical tools for creating human-AI experiences with people in mind from the beginning.
- [GAM Changer](https://github.com/interpretml/gam-changer) - Edit machine learning models to reflect human knowledge and values.
### Optimization
- [ONNXRuntime](https://github.com/microsoft/onnxruntime) - cross-platfom, high performance ML inference and training accelerator.