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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

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    Go From AI Idea to AI App Fast

    One platform to build, fine-tune, and deploy ML models. No MLOps team required.

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  • 1

    sfwebsite

    Helper to create websites for SourceForge projects

    ...Just set a couple of values in the configuration file, upload to SourceForge web directory, set write permissions to the cache directory and enjoy. You'll be able to customize the site just creating a CSS file and modifying a few configuration values. Right now it is in a very early development status so there's very little you can see.
    Downloads: 0 This Week
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    Simple Library System

    Simple Library System

    simple library system

    This project contain simple library system for book registration, user management and book reservation and also reminder system for book returning or release.
    Downloads: 0 This Week
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  • 3
    Elastic Open Objects Portal System

    Elastic Open Objects Portal System

    Federated Framework in PHP and compatible with XOOPS Platforms!

    Federated Framework in PHP and compatible with mainstream XOOPS Platforms. EOOPS pronounces [ih-oop`s] is a platform that allows for a dynamics environment that allows for linkages between popular federated networks like status net as well as platforms like friendica for exchanges but with quality clean code that offers a wild expectation to sociology of networks and connected as your website! Elastic Open Object Portal System is a CMS Framework. Comparable with existing XOOPS 2.6 systems, it allows congruency within a XOOPS Framework that is developed by some old Hands in Open Source and offers Open Objectivity with a power of a development environment that is FAST!!
    Downloads: 0 This Week
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  • 4

    SpanTrax

    SpanTrax is a fork based on PostNuke.

    Project Status: Moved for legal reasons to: https://sourceforge.net/projects/voyatrax/
    Downloads: 0 This Week
    Last Update:
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    Train ML Models With SQL You Already Know

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