UWP Community Toolkit VS ML.NET

GitHub/WCT/Controls/DataGrid (source code for the control)

Started programming by writing some apps for Windows Phone later UWP during university. A few years ago I started collaborating a lot on GitHub to some Microsoft projects, like the Windows Community Toolkit. There I created a lot of new APIs and libraries, like all the new animation APIs and pipeline brush APIs, etc. I then also proposed adding some general .NET APIs to it, and that's how the MVVM Toolkit was born, along with other libraries which are now moved to the .NET Community Toolkit. Fast forward until about late 2020, and they pinged me saying the new Microsoft Store (which hadn't been announced yet back then) was using several of those new APIs I had written, so we started collaborating more so that I could add more functionality they needed. After that shipped, at some point there was a new opening to which I applied, and here I am in the Microsoft Store team and also leading the .NET Community Toolkit 🙂

https://github.com/CommunityToolkit/WindowsCommunityToolkit (now multiplateform)

For instance, recently Chaochao opened a PR for the Windows Community Toolkit to open source the whole custom animation helpers he developed for the Store, which are used to implement the morphing animations you see when scrolling in a product page. You can see a GIF and the whole code here and in the linked PR.

Specifically I am looking for AsyncRelayCommand.cs. All documentation points to CommunityToolkit repo but I can not find it there. Link to source repo from the Nuget package also points to CommunityToolkit. I am not looking for samples.

The report itself is just markdown that is rendered with the Community Toolkit's MarkdownTextBlock.

That's interesting. It will need some documentation and to finish the renaming at some point, e.g. Span2D is in https://github.com/CommunityToolkit/WindowsCommunityToolkit but as you say doesn't require Windows.

Windows Community Toolkit

You can direct your question to https://github.com/dotnet/machinelearning/issues. Perhaps it is already documented.

Here I'm analyzing all projects in the src and test directories of the ML.NET repository. I chose to include these as separate paths because they represent two different groupings of projects in this repository.

Important Note: looping over repository commits takes a long time for large repositories. It took 52 minutes to analyze the ML.NET repository this code example refers to, which had 2,681 commits at the time of analysis on February 25th, 2023.

We checked the ML.NET 1.7.1 version. The source code of this project's version is available on GitHub.

machine learning? https://github.com/dotnet/machinelearning

You can follow some of our plans by taking a look at our roadmap which we'll be updating shortly to more accurately reflect the areas we're investing in.

Re: ONNX, if you run into similar issues in the future, feel free to reach out in our GitHub repo or the ONNX Runtime repo and we'd be happy to help!

Good clarification, I think using something like ML.NET could be cool but I have some experience with Blazor that might be fun to use as well, I think generally performance monitoring or optimizing systems seems interesting to me, and I'm really open to other ideas as well. Let me know if any of that helps narrow my question down!