Showing 4 open source projects for "distribution"

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    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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  • 1
    HyperImage Virtual Research Environment
    The HyperImage platform supports the linking of (audio)-visual objects, texts and mixed-media documents. References between images in total, regions of images, annotations regarding the images, and other media, are achieved by means of hyperlinks.
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  • 2
    Create tags for your media files. Define Start/End time and additional information for each media tag. Later, you can play the tags using an embedded media player.
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  • 3
    We aim to create all the necessary software for a Wikipedia optical media distribution that will rival all commercial encyclopedia software, just like Wikipedia's content already does so.
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  • 4
    WebComicMS (abbreviated WCms) is a CMS designed specifically for the display and distribution of webcomics, grouped by series and chapter.
    Downloads: 0 This Week
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  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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