ReactiveUI
ML.NET
Our great sponsors
ReactiveUI | ML.NET | |
---|---|---|
18 | 17 | |
7,905 | 8,825 | |
0.6% | 0.7% | |
9.0 | 8.9 | |
about 20 hours ago | 7 days ago | |
C# | C# | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ReactiveUI
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Humble Chronicles: Managing State with Signals
ReactiveUI is based on Rx and very popular in the .Net world: https://www.reactiveui.net/.
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Source generators run unreliably on VSCode and Rider? (MvvmToolkit)
I use PropertyChanged.Fody all the time and it works fantastically and consistently for implementing INotifyPropertyChange. It is even smart enough to understand dependencies within your get/set functions (should you choose to have custom ones) and notify that property if any of it's dependent properties change. While we are on the subject, if you are using MVVM with observables, you should really check out ReactiveUI. It is wonderful.
- What is a good alternative (or substitute) for MVVMLight?
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System.Reactive v6.0.0-preview.1 available on NuGet
Personally I learned to use rx and observables by starting to use ReactiveUI combined with DynamicData for my WPF app MVVM architecture. It was maybe not to best choice out there, but I learned to work with it and some things it allows to do is awesome.
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I want to learn WPF and was told I should use a MVVM based framework any up to date suggestions?
My favorite framework is Reactive UI but it's a bit more advanced than most MVVM frameworks since it uses Reactive Programming. You can still try its most basic features, though.
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Which GUI framework should I learn: WinForms, WPF, Avalonia or something else?
There is a lot of overlap between WPF and Avalonia so I would start with either one of those. Most certainly Avalonia if you plan to do cross platform dev. I would also highly recommend that you learn and conform to MVVM and dependency injection for your architecture in order to write clean, maintainable, and testable code. My recommendation is ReactiveUI. It leans heavily on more modern patterns like Reactive extensions and IObservable and it can do so much more than just MVVM. As such, it is also very similar to Angular so the concepts will transfer easily if you ever need to do web development. On a side note, Pluralsight has a nice quick course on SOLID design principles. If your code is a mess, it would be a good idea to take a course on this though learning MVVM will be a big step in the right direction.
- Why is there a lack of cool repos?
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WPF or WinForms
Also, about data binding and reactivity if you really enjoy WinForms, nevar forget!! https://www.reactiveui.net
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Getting head around {get;set} for C# Models
Your UI needs to bind to something that can programmatically notify it about changes, we call these things View-Models. Usually View-Models implement INotifyPropertyChanged interface (another key interface is INotifyCollectionChanged that is responsible for notifying collection views that number of items is changed and they need to update the UI accordingly). You can do that (the implementation of the interface) manually or use some library to do that for you just to cut some boilerplate code (e.g. ReactiveUI + Fody or Microsoft.Toolkit.MVVM or maybe even this or this).
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Managing resource files for an app
Some projects like ReactiveUI take on a more webapp style project structure, with resources being in some static resources folder and all code being in a src folder.
ML.NET
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ML.net image classification, poor GPU accuracy
You can direct your question to https://github.com/dotnet/machinelearning/issues. Perhaps it is already documented.
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Building a File Analysis Dataset with Python
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.
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Extracting git repository data with PyDriller
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.
- Can we please be allowed to do machine learning object detection model training locally?
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ML.NET: can Microsoft's machine learning be trusted?
We checked the ML.NET 1.7.1 version. The source code of this project's version is available on GitHub.
- Stable Diffusion converted to ONNX (Demo usage, optimized to CPU)
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Why is there a lack of cool repos?
machine learning? https://github.com/dotnet/machinelearning
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what is the future of ML.NET?
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.
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Does anyone actually use ML.NET?
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!
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Requesting Senior Project Ideas
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!
What are some alternatives?
Prism - Prism is a framework for building loosely coupled, maintainable, and testable XAML applications in WPF, Xamarin Forms, and Uno / Win UI Applications..
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
contact - Retryable HTTP client in Go.
Accord.NET
MVVMCross - The .NET MVVM framework for cross-platform solutions, including Android, iOS, MacCatalyst, macOS, tvOS, WPF, WinUI
FaceRecognitionDotNet - The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
MVVM Light Toolkit - The main purpose of the toolkit is to accelerate the creation and development of MVVM applications in Xamarin.Android, Xamarin.iOS, Xamarin.Forms, Windows 10 UWP, Windows Presentation Foundation (WPF), Silverlight, Windows Phone.
OpenCvSharp - OpenCV wrapper for .NET
Caliburn.Micro - A small, yet powerful framework, designed for building applications across all XAML platforms. Its strong support for MV* patterns will enable you to build your solution quickly, without the need to sacrifice code quality or testability.
Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
WPF Application Framework (WAF) - Win Application Framework (WAF) is a lightweight Framework that helps you to create well structured XAML Applications.
Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming