Showing 4 open source projects for "cpu memory usage"

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  • 1
    CPU Features

    CPU Features

    A cross platform C99 library to get cpu features at runtime

    ...Implemented in portable C99, it is thread-safe, has no memory allocations, and raises no exceptions, making it suitable even for use in low-level system libraries. The design emphasizes portability, extensibility, and compatibility with sandboxed or restricted environments where direct CPU access may be limited.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Fresco

    Fresco

    An Android library for managing images and the memory they use

    Fresco’s image pipeline will load images from the network, local storage, or local resources. To save data and CPU, it has three levels of cache; two in memory and another in internal storage. Fresco’s Drawee shows a placeholder for you until the image has loaded and then automatically shows the image when it arrives. When the image goes off-screen, it automatically releases its memory. A decompressed image - an Android Bitmap - takes up a lot of memory. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    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: 34 This Week
    Last Update:
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  • 4
    Volley

    Volley

    HTTP library that makes networking for Android apps

    Volley is an Android networking library that streamlines making asynchronous HTTP requests, caching responses, and managing image loading with minimal code. It provides request queues, thread pools, and lifecycle-aware cancellation so network work integrates cleanly with activities and fragments. Out of the box it supports JSON, string, and image requests, plus an extensible Request/Response model for custom payloads. Volley emphasizes responsiveness: transparent caching and de-duplication...
    Downloads: 0 This Week
    Last Update:
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