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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    $300 Free Credits to Build on Google Cloud

    New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.

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  • 1
    Just the Browser

    Just the Browser

    Remove AI features, telemetry data reporting, sponsored content

    ...Instead of modifying browser binaries, it applies supported group policies and configuration files that disable intrusive UI elements, data collection features, default pop-ups, and integrated services, giving users more control over privacy and interface simplicity. It includes setup scripts for Windows and Mac/Linux, and directories with manual configuration files that explain what each setting does, allowing power users to tailor the experience. Because the project leans on official group policy options, the changes persist as long as browsers support these settings, and users can easily revert them or extend them manually.
    Downloads: 4 This Week
    Last Update:
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  • 2
    StudioOllamaUI

    StudioOllamaUI

    StudioOllamaUI is a local, portable interface for Ollama

    StudioOllamaUI: Portable .The easiest way to run local AI Do you want to use AI but don't know what Docker is? Does the terminal scare you? StudioOllamaUI is for you. Zero Installation: Works on a fresh Windows installation. No Python, no libraries, no drama. 100% Portable: Just like a portable browser. Unzip, run, and that's it. It doesn't clutter your registry or leave traces on your disk. AI for Everyone: No expensive GPU?
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    Downloads: 20 This Week
    Last Update:
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  • 3
    ML.NET Samples

    ML.NET Samples

    Samples for ML.NET, an open source and cross-platform machine learning

    ...The ML.NET CLI (command-line interface) is a tool you can run on any command prompt (Windows, Mac or Linux) for generating good quality ML.NET models based on training datasets you provide. In addition, it also generates sample C# code to run/score that model plus the C# code that was used to create/train it so you can research what algorithm and settings it is using.
    Downloads: 0 This Week
    Last Update:
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