Showing 5 open source projects for "speed"

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  • 1
    MNN

    MNN

    MNN is a blazing fast, lightweight deep learning framework

    MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity...
    Downloads: 71 This Week
    Last Update:
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  • 2
    WP-Desktop

    WP-Desktop

    WordPress.com for Desktop

    A desktop app that gives WordPress a permanent home in your taskbar. A control panel for all your WordPress sites. Write and design with no other browser tabs to distract you. Switch easily between managing your WordPress sites and your favorite desktop apps. The desktop app builds upon the already fast WordPress.com by bundling the entire site as a local copy. You get near-instant page-loads and less waiting around. The WordPress.com desktop app will scale to any size. Do you need a small...
    Downloads: 2 This Week
    Last Update:
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  • 3
    MJExtension

    MJExtension

    A conversion framework between JSON and model

    A fast, convenient and nonintrusive conversion framework between JSON and model. Dictionary-to-model framework with fast conversion speed and easy to use. A large number of unit tests have been carried out on various commonly used data scenarios. MJExtension is an ultra-lightweight framework that converts between dictionaries and models. Coding all properties of a model with only one line of code. Coding (archiving and unarchiving) of all attributes of the model can be achieved with just one line of code. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    MACE

    MACE

    Deep learning inference framework optimized for mobile platforms

    Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes obligatory when running a model. Mechanism like automatically breaking OpenCL kernel into small units is introduced to allow better preemption for the UI rendering task. ...
    Downloads: 0 This Week
    Last Update:
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  • 5
    VasSonic

    VasSonic

    Hybrid framework to speed up the first screen of websites

    VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform. VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform. Not only does VasSonic supports the static or dynamic websites which are rendered by server, but it is also compatible with web offline resource perfectly. ...
    Downloads: 0 This Week
    Last Update:
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