Showing 4 open source projects for "qualcomm software"

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  • 1
    AIMET

    AIMET

    AIMET is a library that provides advanced quantization and compression

    Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. AIMET enables neural networks to run more efficiently on fixed-point AI hardware...
    Downloads: 5 This Week
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  • 2
    DroidDeck

    DroidDeck

    DroidDeck brings the SteamOS experience to Android

    ...It runs Valve's Steam client in Big Picture mode and uses an ARM64 Proton environment to launch Windows games. The project targets Android 9 or newer devices with supported Qualcomm Adreno GPUs and does not require root. Optional desktop components add Linux applications, emulators, Flatpak software, and AppImage support. GOG, Epic Games, and Amazon Games libraries can also be imported as non-Steam titles for Proton launching. Its Linux runtime combines compatibility, audio, input, and graphics components into one handheld-focused environment. ...
    Downloads: 401 This Week
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  • 3
    AnyArray (Formerly Octave OCL Extra)
    This is a freedom software and it obeys opensource initiative. The main purpose of this project is to bring extra updates to the existing Octave OCL project with more supporting PC devices as well as mobile devices. Due to the fact tremendous time and energy has been spent on its working on many devices, the project name is changing to AnyArray to reflect it is really working on many devices on March 2026. Ever since started providing extra GPU Compute support, it has been for...
    Downloads: 1 This Week
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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...
    Downloads: 0 This Week
    Last Update:
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