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Demonstrates different machine learning scenarios and features using [Windows ML](https://docs.microsoft.com/en-us/windows/ai/windows-ml/) in an interactive format. This app is the interactive companion shows the integration of [Windows Machine Learning Library APIs](https://docs.microsoft.com/en-us/uwp/api/windows.ai.machinelearning) into a desktop [WinUI 3](https://github.com/microsoft/microsoft-ui-xaml) application.
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Demonstrates the different scenarios and features for [WinML](https://docs.microsoft.com/en-us/windows/ai/windows-ml/)
-**Demonstrates different scenarios for which WinML excels**: Various use cases that deal with different types of inputs (image, audio, etc.) are demonstrated.
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-**Shows how to implement different scenarios and features**: Each sample comes with the corresponding code. Code snippets also presented in the app when applicable.
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## 🐞 Found a bug? Want a new sample?
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## Getting Started
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- The WinML Samples Gallery is available in the Microsoft Store. Click [here](./) to download.
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- Check out the [source](https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery/WinMLSamplesGallery/Samples) for each sample.
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If you find a bug **within the WinML Samples Gallery** or want to request a new sample, please [file an issue](https://github.com/microsoft/Windows-Machine-Learning/issues/new).
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## Build From Source
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To learn how to implement these features in your application, or unlock additional functionality that may not be available in the Store Application, you may need to build the WinML Samples Gallery from source. Follow these instructions to build from source.
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## Related topics
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### Prerequisites
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-[Visual Studio 2017 Version 15.7.4 or Newer](https://developer.microsoft.com/en-us/windows/downloads)
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-[Windows SDK - Build 18362 or Newer](https://developer.microsoft.com/en-us/windows/downloads/sdk-archive/)
- Navigate to **Windows-Machine-Learning/Samples/WinMLSamplesGallery**.
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-*(optional)* Make any changes to the *.csproj files needed to enable functionality.
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- Launch **WinMLSamplesGallery.sln**
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- Build and deploy the **WinMLSamplesGallery (Package)** project.
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## Samples
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-[Image Classifiation](./WinMLSamplesGallery/Samples/ImageClassifier): Pick an image and classify the scene into 1000 categories such as keyboard, mouse, pencil, and many animals. This sample demonstrates image classification using a large number of models taken from the [ONNX Model Zoo](https://github.com/onnx/models).
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-[Image Effects](./WinMLSamplesGallery/Samples/ImageEffects): Pick an image and apply a variety of effects powered by Windows AI MachineLearning like Blur, Sharpen, Contrast, and many more. These effects can be used to perform model input image preprocessing, or postprocessing for visualizing outputs.
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-[Batched Inputs](./WinMLSamplesGallery/Samples/Batching): WinML enables batched inputs that allow callers to perform inference over multiple inputs at once in order to increase performance. Use this sample to compare inference runtime performace with and without batching.
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## Feedback
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Please file an issue [here](https://github.com/microsoft/Windows-Machine-Learning/issues/new) if you encounter any issues with the WinML Samples Gallery or wish to request a new sample.
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## External Links
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-[Windows ML Library (WinML)](https://docs.microsoft.com/en-us/windows/ai/windows-ml/)
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