Showing 4 open source projects for "linux engineers toolkit"

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    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...
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  • 2
    Render Farm Deployment Kit on AWS (RFDK)

    Render Farm Deployment Kit on AWS (RFDK)

    Library for use with the AWS Cloud Development Kit

    The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the...
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  • 3

    octave-mqtt

    GNU Octave MQTT toolkit

    A basic GNU Octave implementation of mqtt toolkit using the paho-mqtt library
    Downloads: 0 This Week
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  • 4
    Davinci

    Davinci

    Davinci is a DVsaaS (Data Visualization as a Service) Platform

    Davinci is oriented towards product managers, business people, data engineers, data analysts, data scientists, etc. It aims to provide a one-stop data visualization solution, which could be both independently used as a public cloud/private cloud and integrated into third-party systems as plugin. A simple configuration on Davinci UI can meet multiple visualization requirements. It also supports other visualization features like advanced interaction, industry analysis, pattern searching,...
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