Showing 4 open source projects for "ml-agents toolkit"

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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...
    Downloads: 0 This Week
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  • 2
    The DUML project is 3 sub-projects: 1) Document Update Markup Language (DUML) which allows for updates of the DOM via server markup 2) Interpreted Application Markup Language (IAML) which provides markup based widgets. 3) A set of common libraries (JAS).
    Downloads: 1 This Week
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  • 3
    Agents (A Game theoretic Evolutionary Network Traffic Simulation) is a toolkit for the analysis of selfish agents in networks by means of evolutionary game theory. Simulations of replicator and other dynamics can be plotted, visualised and analysed.
    Downloads: 0 This Week
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  • 4
    FIPA-OS is a component-based toolkit enabling rapid development of FIPA compliant agents. FIPA-OS supports the majority of the FIPA Experimental specifications (<a href="http://www.fipa.org">www.fipa.org</a>) and is being continuously improved.
    Downloads: 0 This Week
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