Showing 7 open source projects for "cross-platform"

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  • 1
    BotSharp

    BotSharp

    AI Multi-Agent Framework in .NET

    ...Out-of-the-box machine learning algorithms allow ordinary programmers to develop artificial intelligence applications faster and easier. It's written in C# running on .Net Core that is full cross-platform framework. C# is a enterprise-grade programming language which is widely used to code business logic in information management-related system.
    Downloads: 0 This Week
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  • 2
    OpenClaw Windows Hub

    OpenClaw Windows Hub

    Windows companion suite for OpenClaw

    OpenClaw Windows Node is a Windows companion suite for OpenClaw, the AI-powered personal assistant platform. It allows a Windows PC to act as a controllable node that can be used by the OpenClaw agent. When Node Mode is enabled, the agent can interact with the Windows machine in a way similar to the OpenClaw Mac app. The project focuses on bringing local desktop control, automation, and assistant functionality to Windows users. It is intended for people who want their AI assistant to operate across devices rather than only through chat. ...
    Downloads: 17 This Week
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  • 3

    Game of Giants - 2 player AI

    2 Player (Bot or Human) AI Gaming

    ...A move consists of two subsequent actions: 1. One moves one of one's own giant one or more empty squares in a straight line (orthogonally), exactly as rook moves in chess, it may not cross or enter a square occupied by a giant or an arrow. 2. After moving, the giant shoots an arrow from its landing square to another square, using another rook-like move. This arrow may travel in any orthogonal direction (even backwards along the same path the giant just traveled, into or across the starting square if desired). An arrow, like a giant, cannot cross or enter a square where another arrow has landed or a giant stands. ...
    Downloads: 0 This Week
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  • 4
    dotRL

    dotRL

    A platform for rapid Reinforcement Learning methods development

    Application allowing convenient experimentation in Reinforcement Learning - a Machine Learning domain. Project goals are: - keep adding new environments and agents as simple as possible - provide a rich set of state-of-art algorithms and problems - integrate with other existing Reinforcement Learning platforms If you found this application useful please cite this work: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6643987
    Downloads: 0 This Week
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  • 5
    Graph Process Platform implements and automates any graph-based process for example a manufacturing process, trading system or business process workflow.
    Downloads: 0 This Week
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  • 6
    Platform supporting machine learning on different objects by different modification of the JSM method (for now). Predicates for the JSM method are written in CLIPS.Objects and modification of the JSM method have to written on one of .NET languages.
    Downloads: 0 This Week
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  • 7
    GameBots# is a client API written in C# for GameBots, a research-oriented platform for building artificially-intelligent autonomous agents for computer games.
    Downloads: 0 This Week
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