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    $300 Free Credits to Build on Google Cloud

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    Veeam Data Platform v13.1

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  • 1
    AutoDev

    AutoDev

    The AI-powered coding wizard

    The AI-powered coding wizard with multilingual support, auto code generation, and a helpful bug-slaying assistant. Customizable prompts and a magic Auto Dev/Testing/Document/Agent feature are included.
    Downloads: 2 This Week
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  • 2
    Blinko

    Blinko

    An open-source, self-hosted personal AI note tool prioritizing privacy

    Blinko is a self-hosted, open-source personal AI note-taking and idea capture tool built primarily in TypeScript and designed to keep your data private and under your control. It allows users to quickly jot down fleeting thoughts, draft content, and organize ideas with Markdown support, making it easy to record insights as they happen. What sets Blinko apart is its AI-enhanced retrieval — users can search their notes using natural language queries and get relevant results instantly rather than relying solely on keyword matches. ...
    Downloads: 2 This Week
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  • 3
    TalkingBot

    TalkingBot

    A virtual parrot for Android platform that can listen and talk to you.

    A virtual personality for Android platform that can listen and talk to you (like a parrot) via the Google synthesizer. Idea born for fun and totally experimental, but feel free to modify it and, if you like, to help me improve it. This initial version only understands the Italian language! I'm sorry.. Please support this project by donating to this fundraiser: ------------------------------------------- Give birth to new travel bicycles!!! https://gofund.me/2201d2a4 -------------------------------------------
    Downloads: 0 This Week
    Last Update:
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  • 4
    Fast Fuzzy Inference System
    FFIS or Fast Fuzzy Inference System is a portable and optimized implementation of Fuzzy Inference Systems. It supports both Mamdani and Takagi-Sugeno methods. The main idea behind this tool, is to provide case-special techniques rather than general solutions to resolve complicated mathematical calculations. This will lead to have more efficient defuzzification algorithms for Mamdani's model. Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time which n is number of membership functions in output.
    Downloads: 0 This Week
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    Ship Agents Faster

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