Showing 5 open source projects for "breed"

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  • 1
    Kubeflow

    Kubeflow

    Machine Learning Toolkit for Kubernetes

    Kubeflow is an open source Cloud Native machine learning platform based on Google’s internal machine learning pipelines. It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container. Wherever you may be running Kubernetes, you can run Kubeflow as well.
    Downloads: 2 This Week
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  • 2
    DJDarwin

    DJDarwin

    A Genetic algorithm approach to creating beats.

    ...The purpose, in the words of Africa Bambaataa - Looking for the perfect beat. Using a genetic­ algorithmic framework, the user's taste defines a Beat fitness function - she decides which beats survive and breed, and which join the choir invisible. In addition, the user can easily define an automatic fitness function, put the program on 'auto­pilot' mode, and let it speed up evolution. Different types of mutations (including inactive genes, changing instruments, and more) occur randomly (or at the user's control), and the user can add her own beats to the population. ...
    Downloads: 0 This Week
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  • 3
    Compiler optimization for code that AI generates, reuses similar substrings of code to exponentially reduce the Big-O of compile. At runtime, CodeTree objects breed, rename vars, mutate code and run it instantly. For any realtime compilable language.
    Downloads: 0 This Week
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  • 4
    Artifical Life simulator that employs techniques from evolutionary computing to design embodied neural networks. Essentially, simple organisms run around in a small 3-D world and compete and breed with one another. Please visit the Wiki for orientation.
    Downloads: 0 This Week
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  • 5
    Project Genesis brings the game of life up-to-date. instead of dots, we have animals, instead of trivial rules about close proximity dots, we model real world activities: move,eat,kill,steal,destroy,sleep, breed and learn different patterns of behavior.
    Downloads: 0 This Week
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