Showing 4 open source projects for "neural net python"

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    Simplify Purchasing For Your Business

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    Award-Winning Medical Office Software Designed for Your Specialty

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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: 2,436 This Week
    Last Update:
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  • 2
    Decentralized Internet

    Decentralized Internet

    SDK for building decentralized web and distributed computing projects

    This project was created in order to support a new internet. One that is more open, free, and censorship-resistant in comparison to the old internet. An internet that eventually wouldn't need to rely on telecom towers, an outdated grid, or all these other "old school" forms of tech. We believe P2P compatibility is an important part of the future of the net. Grid Computing also plays a role in having a better means of transferring information in a speedy, more cost-efficient and reliable manner.
    Downloads: 0 This Week
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  • 3
    Platform-independent recursive search library. C-API, written in C/C++, with mappings to C++, COM, D, Java, .NET, Python, Ruby, STL, with more to come.
    Downloads: 0 This Week
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  • 4
    oddioToolz (oz) aims to be a modular audio IDE geared toward realtime audio synthesis, manipulation, quantization, sequencing, interaction and the exchange of sound/modules/meta over computer and neural networks worldwide. oz needs help e-mail a dev!
    Downloads: 0 This Week
    Last Update:
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  • Skillfully - The future of skills based hiring Icon
    Skillfully - The future of skills based hiring

    Realistic Workplace Simulations that Show Applicant Skills in Action

    Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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