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@@ -19,6 +19,10 @@ For additional information on Windows ML, including step-by-step tutorials and h
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<img src='./Tools/WinMLDashboard/public/EditorView2.PNG' width=800/>
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- **[WinML Code Generator (mlgen)](https://marketplace.visualstudio.com/items?itemName=WinML.mlgen)**: a Visual Studio extension to help you get started using WinML APIs on UWP apps by generating a template code when you add a trained ONNX file into the UWP project. From the template code you can load a model, create a session, bind inputs, and evaluate with wrapper codes. See [docs](https://docs.microsoft.com/en-us/windows/ai/mlgen) for more info.
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Download for [VS 2017](https://marketplace.visualstudio.com/items?itemName=WinML.mlgen), [VS 2019](https://marketplace.visualstudio.com/items?itemName=WinML.MLGenV2)
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- **[WinMLRunner](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Tools/WinMLRunner)**: a command-line tool that can run .onnx or .pb models where the input and output variables are tensors or images. It is a very handy tool to quickly validate an ONNX model. It will attempt to load, bind, and evaluate a model and print out helpful messages. It also captures performance measurements.
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## Sample apps

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