Showing 5 open source projects for "machine learning platform"

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  • 1
    Volcano

    Volcano

    A Cloud Native Batch System (Project under CNCF)

    Volcano is a batch system built on Kubernetes. It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of high-performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open-source community. ...
    Downloads: 148 This Week
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  • 2
    Loggie

    Loggie

    A lightweight, cloud-native data transfer agent and aggregator

    Loggie is a lightweight, high-performance, cloud-native agent and aggregator based on Golang. Loggie includes LogConfig/ClusterLogConfig/Interceptor/Sink CRDs, allowing for the creation of data collection, transfer, processing, and sending pipelines through simple YAML file creation. Supports deployment as an independent intermediate machine, which can receive aggregated data sent by Loggie Agent and can also be used to consume and process various data sources. Configure Filebeat and Loggie...
    Downloads: 0 This Week
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  • 3
    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
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  • 4
    Open Application Model

    Open Application Model

    Open Application Model (OAM)

    Open Application Model (OAM) is a set of standard yet higher-level abstractions for modeling cloud-native applications on top of today's hybrid and multi-cloud environments. Focused on application rather than container or orchestrator, Open Application Model brings modular, extensible, and portable design for defining application deployment with higher level API. This is the key to enabling simple, consistent yet robust application delivery across hybrid environments including Kubernetes,...
    Downloads: 0 This Week
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  • 5
    pico

    pico

    A Git-driven task runner built to facilitate GitOps and Infrastructure

    Pico is a Git-driven task runner built to facilitate GitOps and Infrastructure-as-Code while securely passing secrets to tasks. What once was a place to chat and collaborate with people across the planet is now a platform for the commercialization of products and services. At the seat of the modern web is the browser. The modern browser is very much like an operating system, both in terms of complexity and code size. Only massive corporations can build and maintain it. Further, the web breeds platforms that exploit your reward and learning centers in order to increase "engagement." ...
    Downloads: 0 This Week
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