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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

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

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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  • 1
    Zero Install
    Zero Install is a decentralised cross-distribution software installation system. Create one package that works everywhere! With dependency handling and automatic updates, full support for shared libraries, and integration with native package managers
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    Downloads: 4,328 This Week
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  • 2
    XDCC-Fetch, written entirely in Ruby, is a platform independent tool for collecting, searching and downloading broadcasted XDCC announcements within IRC channels. XDCC-Fetch supports, amoung other features, multiple IRC Servers and search on typing.
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    Downloads: 0 This Week
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  • 3
    java based, extendable, os independent, pluginable multifunctional chat client and server
    Downloads: 0 This Week
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  • 4
    A simple self contained Mac OS X application, which acts as a frontend for HellaNZB.
    Downloads: 0 This Week
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  • Build Agents and Models on One Platform Icon
    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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  • 5
    The Medlane project is an attempt to create a set of tools that will enable librarians to move from the standard MARC (MAchine Readable Cataloging) format to a new library/museum XML format. This move will ensure traditional library/museum data remains
    Downloads: 0 This Week
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