Showing 3 open source projects for "gnu"

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    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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  • Field Service+ for MS Dynamics 365 & Salesforce Icon
    Field Service+ for MS Dynamics 365 & Salesforce

    Empower your field service with mobility and reliability

    Resco’s mobile solution streamlines your field service operations with offline work, fast data sync, and powerful tools for frontline workers, all natively integrated into Dynamics 365 and Salesforce.
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  • 1
    OpenHaystack

    OpenHaystack

    Framework for tracking personal Bluetooth devices

    OpenHaystack is a framework for tracking personal Bluetooth devices via Apple's massive Find My network. Use it to create your own tracking tags that you can append to physical objects (keyrings, backpacks, ...) or integrate it into other Bluetooth-capable devices such as notebooks.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Potatso

    Potatso

    Potatso is an iOS client that implements Shadowsocks proxy

    Potatso is an iOS client that implements custom proxies with the leverage of Network Extension framework introduced by Apple since iOS 9. The project is tested with Xcode 9.4 (9F1027a) on iOS 11.4 (15F79) device with cocoapod version 1.4.0+. You can purchase it from App Store, or still use Potatso by building it manually and installing to your device from this project.
    Downloads: 30 This Week
    Last Update:
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  • 3
    LocoKit

    LocoKit

    Location, motion, and activity recording framework for iOS

    A Machine Learning based location recording and activity detection framework for iOS. Combined, simplified Core Location and Core Motion recording. Filtered, smoothed, and simplified location and motion data. Near real-time stationary / moving state detection. Automatic energy use management, enabling all-day recording. Automatic stopping and restarting of recording, to avoid wasteful battery use. Machine Learning-based activity type detection. Improved detection of Core Motion activity...
    Downloads: 0 This Week
    Last Update:
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