Search Results for "artificial intelligent agent python"

Showing 14 open source projects for "artificial intelligent agent python"

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  • 1
    Unity ML-Agents Toolkit

    Unity ML-Agents Toolkit

    Unity machine learning agents toolkit

    Train and embed intelligent agents by leveraging state-of-the-art deep learning technology. Creating responsive and intelligent virtual players and non-playable game characters is hard. Especially when the game is complex. To create intelligent behaviors, developers have had to resort to writing tons of code or using highly specialized tools. With Unity Machine Learning Agents (ML-Agents), you are no longer “coding” emergent behaviors, but rather teaching intelligent agents to “learn” through...
    Downloads: 6 This Week
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  • 2
    Semantic Kernel

    Semantic Kernel

    Integrate cutting-edge LLM technology quickly and easily into your app

    Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python. By doing so, you can create AI apps that combine the best of both worlds. To help developers build their own Copilot experiences on top of AI plugins, we have released Semantic Kernel, a lightweight open-source SDK that allows you to orchestrate AI plugins. With Semantic Kernel, you can leverage the same AI...
    Downloads: 5 This Week
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  • 3
    BotSharp

    BotSharp

    AI Multi-Agent Framework in .NET

    ... technologies, and aims to promote the development and application of intelligent robot assistants in information systems. 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: 1 This Week
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  • 4
    AI4U

    AI4U

    Multi-engine plugin to specify agents with reinforcement learning

    AI4U is a multi-engine plugin (Godot and Unity) that allows you to design Non-Player Characters (NPCs) of games using an agent abstraction. In addition, AI4U has a low-level API that allows you to connect the agent to any algorithm made available in Python by the reinforcement learning community specifically and by the Artificial Intelligence community in general. Reinforcement learning promises to overcome traditional navigation mesh mechanisms in games and to provide more autonomous...
    Downloads: 0 This Week
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  • 5

    Presage

    the intelligent predictive text entry platform

    Presage (formerly Soothsayer) is an intelligent predictive text entry system. Presage generates predictions by modelling natural language as a combination of redundant information sources. Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic...
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    Downloads: 31 This Week
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  • 6
    WumpusWorld-CSharp

    WumpusWorld-CSharp

    A Wumpus World in c# and prolog with a GUI

    Wumpus World Game is based on knowledgebase agents and is described in the book , Artificial Intelligence : A Modern Approach (Russel - Norvig). This is an implementation of Wumpus World (a Knowledgebase agent game) using csharp alongside prolog with a GUI. C# has the main environment of the game and the GUI The GUI was created using WPF , Windows Presentation Foundation Prolog is used as the knowledgebase of the agent of Wumpus World In order for C# to communicate with Prolog a Csharp...
    Downloads: 0 This Week
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  • 7
    aCompute

    aCompute

    Aims to enable researcher to tap in to mobile computing capability

    This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need...
    Downloads: 0 This Week
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  • 8
    Open Exchange (OpEx)

    Open Exchange (OpEx)

    The open source Algorithmic Trading System

    OpEx is an application suite that includes the main building blocks of commercial electronic trading systems. All OpEx applications run on distributed system architectures.
    Downloads: 0 This Week
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  • 9
    Soar
    Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.
    Downloads: 3 This Week
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  • 10
    Trinity is mobile agent framework for creation of wide range of mobile agent types. Main goal of project is to provide a tool for rapid development of non-complex agents. Trinity is implemented in .NET v3.5 with usage of Windows Workflow Foundation and W
    Downloads: 0 This Week
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  • 11
    Project Solo is an intelligent agent that operates other programs by spoofing mouse clicks and reading screenshots. The current focus is for it to be able to play the computer game Diablo by itself, and for it to be able to interact online with humans.
    Downloads: 0 This Week
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  • 12
    An agent framework for ubicomp applications. The mSALSA framework facilitates the development of ubicomp systems using autonomous agents.
    Downloads: 1 This Week
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  • 13
    java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.
    Downloads: 0 This Week
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  • 14
    In this project we develop algorithms that can solve a cooperative problem between four agent types, and their goal is to repair a surface time-efficiently, and a multi-agent simulator application to parametrize, animate, and test the solution.
    Downloads: 0 This Week
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