Showing 4 open source projects for "control"

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  • 1
    MagicMirror²

    MagicMirror²

    Modular smart mirror platform with a list of installable modules

    MagicMirror² is Open Source, free and maintained by a big group of enthusiasts. Got a nice idea? Send us a pull request and become a part of the big list of contributors. The core of MagicMirror² contains a strong API which allows 3rd party developers to build additional modules. Modules you can use. Modules you can develop. Read our extensive documentation to find out everything you want to know about the MagicMirror² project. The full API description allows you to build your own modules....
    Downloads: 1 This Week
    Last Update:
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  • 2
    dashAI

    dashAI

    dashAI: an interactive platform for training, evaluating and deploying

    ...The platform guides users through a complete, traceable workflow — data ingestion → visual exploration → preprocessing → model training → evaluation → explainability — without writing a single line of code. Each step is explicit and reversible, keeping the user in control rather than delegating decisions to an opaque pipeline.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Machine-Learning-Flappy-Bird

    Machine-Learning-Flappy-Bird

    Machine Learning for Flappy Bird using Neural Network

    Machine-Learning-Flappy-Bird is an educational machine learning project that demonstrates how an artificial intelligence agent can learn to play the Flappy Bird game using neural networks and evolutionary algorithms. The system simulates a population of birds that each possess their own neural network, which acts as a decision-making controller during gameplay. The neural network receives input features representing the bird’s position relative to the next obstacle and determines whether the...
    Downloads: 0 This Week
    Last Update:
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  • 4
    This project intends to create a bacteria simulator framework, with some realistic bacteria control methods based on chemical signaling, simple sensors, motors and neural networks. The bacteria will evolve in a genetic algorithm environment.
    Downloads: 0 This Week
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