Showing 3 open source projects for "neon"

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    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. ...
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  • 2
    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. ...
    Downloads: 0 This Week
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  • 3
    Neon

    Neon

    A powerful Swift programmatic UI layout framework

    Neon is built around how user interfaces are naturally and intuitively designed. No more springs and struts. No more whacky visual format language. No more auto layout constraints. We're not robots, so why should we build our UIs like we are? Build dynamic and beautiful user interfaces like a boss, with Swift. You can use Cocoapods to install Neon by adding it to your Podfile.
    Downloads: 0 This Week
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