• $300 Free Credits to Build on Google Cloud Icon
    $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.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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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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    Endico - Text Encrypt

    Endico - Text Encrypt

    Fastest way to make secure text.

    Help to convert text into secret codes , so that you can mail,chat and transfer text securely to prevent hacking. How to use : Step one - Open Endico 14 Step two - Decide what to do (Text Encode/Text Decode) Step three - If You Selected Text Encode -> Then Type/Copy/Open .txt file to convert. Step four - Copy the converted text into clipboard to chat,mail,print process etc. Step five - If you want to Decode the code the again follow step two. Step six - ...
    Downloads: 0 This Week
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  • 2
    Virastyar

    Virastyar

    Virastyar is an spell checker for low-resource languages

    Virastyar is a free and open-source (FOSS) spell checker. It stands upon the shoulders of many free/libre/open-source (FLOSS) libraries developed for processing low-resource languages, especially Persian and RTL languages Publications: Kashefi, O., Nasri, M., & Kanani, K. (2010). Towards Automatic Persian Spell Checking. SCICT. Kashefi, O., Sharifi, M., & Minaie, B. (2013). A novel string distance metric for ranking Persian respelling suggestions. Natural Language Engineering,...
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    Downloads: 254 This Week
    Last Update:
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