Showing 3 open source projects for "machine learning platform"

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  • 1
    Rainbond

    Rainbond

    A container platform that needs no Kubernetes learning

    Rainbond is an open-source container platform that helps teams build, deploy, upgrade, operate, and deliver applications on Kubernetes without requiring deep Kubernetes expertise. It focuses more on application delivery than low-level cluster resource management. The platform brings source code, container images, templates, dependencies, access management, upgrades, and rollbacks into a standardized graphical workflow. Rainbond is built for complex enterprise delivery scenarios such as...
    Downloads: 4 This Week
    Last Update:
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  • 2
    TKEStack

    TKEStack

    Native Kubernetes container management platform

    TKEStack is an open source project that provides a container management platform built for organizations that deploy containers in production. TKEStack makes it easy to run Kubernetes everywhere, meet IT requirements, and empower DevOps teams. Provides an intuitive UI interface to support visualization and YAML import and other resource creation and editing methods, enabling users to run containers without learning all Kubernetes concepts up-front.
    Downloads: 0 This Week
    Last Update:
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  • 3
    KubeOperator

    KubeOperator

    An open source, lightweight Kubernetes distribution

    ...Support online environment and offline environment deployment. Provides a visual web UI. Supports cluster planning, deployment and operations. Easily run workloads like machine learning, high-performance computing, and more. Quickly deploy and manage applications in K8S. Only two steps to complete the KubeOperator installation and deployment.
    Downloads: 0 This Week
    Last Update:
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