Showing 4 open source projects for "free gpu"

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  • 1
    Upscayl

    Upscayl

    Free and Open Source AI Image Upscaler for Linux, MacOS and Windows

    Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy. Upscayl is a cross-platform application built with the Linux-first philosophy. This means that we prioritize Linux builds over others but that doesn't mean we'll break things for other OSes. Upscayl does not work without a GPU, sorry.
    Downloads: 168 This Week
    Last Update:
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  • 2
    AwesomeBump

    AwesomeBump

    Open Source graphic tool and alternative to Insane Bump

    AwesomeBump is a free and open source graphic app written using Qt library. It was made as an alternative to known gimp plugin Insane Bump or the commercial tool Crazy Bump. It is designed to generate normal, height, specular or ambient occlusion, metallic, roughness and other textures from a single image. Most of the image processing is done on GPU so the program runs very fast and all the parameters can be changed in real time.
    Downloads: 31 This Week
    Last Update:
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  • 3
    GPU,  a Global Processing Unit

    GPU, a Global Processing Unit

    A framework for distributed computing

    An extensible framework for distributed computing on P2P grids. We support peaceful free and open research and build an internet supercomputer. We render movies, solve Eternity puzzles, predict climate and improve a ~30 GHz cluster of clients.
    Downloads: 4 This Week
    Last Update:
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  • 4

    VolTK

    A Lightweighted Toolkit For Volume Rendering

    A Lightweighted Toolkit For Volume Rendering Project Started by Fei Yang Provide both CPU based and GPU (CUDA) based volume rendering. See http://www.fei-yang.org/?page_id=12 for complete descriptions and package downloads VolTK is a free C++ Toolkit that implements a tri-layer volume rendering framework, which is designed to meet the requirements of both algorithm research and application assemblage. Features * Tri-layer volume rendering * CPU implementation: multi-threading supported * GPU implementation: CUDA based implementation * CPU-GPU correspondance * Both low level interfaces and high level interfaces are provided * Replace the components easily with your own design * Various rendering modes: MIP/Isosurface/Full volume rendering * Endoscopy interaction mode implemented * Pre-integration supported * Cross platform (windows and RHEL tested)
    Downloads: 0 This Week
    Last Update:
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