Showing 4 open source projects for "less"

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    DSharpPlus

    DSharpPlus

    A .NET Standard library for making bots using the Discord API

    ... be subject to change without prior notice (to ease rapid iteration) and that consumers of the library should always remain on the latest version available (to immediately get the latest fixes and improvements). You will usually want to use this version. The latest stable release is always available on NuGet. Stable versions are released less often, but are guaranteed to not receive any breaking API changes without a major version bump.
    Downloads: 0 This Week
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  • 2
    DotVVM

    DotVVM

    Open source MVVM framework for Web Apps

    DotVVM is an open-source framework for ASP.NET. It lets you create web apps using the MVVM pattern, with just C# and HTML. DotVVM can be used to build new ASP.NET Core web apps, or to modernize legacy ASP.NET apps and migrate them to .NET 5. Save your time with GridView, FileUpload and other components shipped with the framework. Don't spend the time building an API. Just load data from the database and use data-binding to display them. DotVVM needs less than 100 kB of JavaScript code. It's...
    Downloads: 0 This Week
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  • 3

    PartWriter

    A project designed to write sheet music.

    The project is composed of two layers. The first layer is an artificial intelligence engine, partwriter, that writes music based on some heuristic. The second layer is the layer that defines the heuristic. The definition of this heuristic defines the type of music that partwriter will create. Currently (December 2012), the deepest layer is more or less complete. The author is now writing second layers of interest, namely species counterpoint heuristics according to Fux's Gradus Ad Parnassum.
    Downloads: 0 This Week
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  • 4
    HoldemAI

    HoldemAI

    Texas Holdem Poker AI

    Full ring Texas Hold'em poker game built around an intelligent AI system. The AI uses players' betting actions to calculate a probability distribution of their hole cards and uses it to evaluate hand strength and the best possible action. Small random changes are made to mimic human behavior and make the AI less predictable. Future versions will include adaptive opponent modeling using neural networks to improve the AI's strength. The AI code can be easily adapted for input from screen scrapers.
    Downloads: 0 This Week
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