Windows ML samples

This repo contains sample apps that demonstrate how to use Windows ML to build machine learning applications for Windows 10.

For tutorials, how-tos, and additional information, see the Windows ML documentation: https://docs.microsoft.com/windows/uwp/machine-learning

Pre-release APIs

These samples use the Windows.AI.MachineLearning APIs, a pre-released product which may be substantially modified before it’s commercially released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

Sample apps

These generic examples show how to use various models and input feeds with Windows ML. We have both C++ native apps and C# UWP samples

• Desktop\SqueezeNet: a native C++ desktop app that usesthe SqueezeNet model to detect the predominant object in an image.
• Store\SqueezeNet: a UWP C# store app that uses the SqueezeNet model to detect the predominant object in an image.
• Store\SnapCandy: a UWP C# store app that uses the FnsCandy model to make cool images

Requirements

• Windows 10 - Build 17713 or higher
• Windows SDK - Build 17713 or higher

Contributing

We're always looking for your help to fix bugs and improve the samples. Create a pull request, and we'll be happy to take a look.

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.