Showing 3 open source projects for "input-output model"

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  • Paessler: Easy to Use With Enterprise Power. Free Trial Icon
    Paessler: Easy to Use With Enterprise Power. Free Trial

    A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

    You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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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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    MediaPipe

    MediaPipe

    Cross-platform, customizable ML solutions for live and streaming media

    ...MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance-critical for live experiences. Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control. ...
    Downloads: 85 This Week
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  • 2
    ncnn

    ncnn

    High-performance neural network inference framework for mobile

    ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including...
    Downloads: 28 This Week
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  • 3
    SDK Manager Plugin

    SDK Manager Plugin

    Gradle plugin which downloads and manages your Android SDK

    The sdk-manager-plugin is a now‑deprecated Gradle plugin (by Jake Wharton) that automatically downloads and manages Android SDK components during Gradle builds. It was designed to reduce SDK installation friction but is obsolete due to built-in capabilities in newer Android Gradle Plugin versions. Your output likely will be different depending on the varying factors listed above. Subsequent runs will omit this output and proceed directly to normal execution. It currently takes about 100ms on average to check all of the above conditions. This cost is only paid when Gradle is setting up the model for the project. If you use the Gradle daemon or use Android Studio this only happens once.
    Downloads: 0 This Week
    Last Update:
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