Showing 34 open source projects for "gpu processing"

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  • 1
    Qaquarelle is the opensource Qt4-based graphical editor, whose goal is to provide the native way of painting with emulated traditional instruments, including the full support of tablet input and OpenGL-based processing in GPU.
    Downloads: 1 This Week
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  • 2
    BrokenFinger is a collection of demo 3D programs showing latest implementation in the areas of: Document Object Model, GPU Bound Processing, and Procedural Modeling(e.g. CGA Shape).
    Downloads: 0 This Week
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  • 3
    proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computer vision applications.
    Downloads: 0 This Week
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  • 4
    An OS/hardware vendor independent GPU accelerated image and video processing library written in C. Interface allows easy combination and manipulation of customizable filters. Works with an active OpenGL context.
    Downloads: 0 This Week
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  • 5
    This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.
    Downloads: 0 This Week
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  • 6
    A graphical toolkit to use the GPU (Graphical Processor) to perform general purpose operations.
    Downloads: 0 This Week
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  • 7
    GLEWpy aims to bring advanced OpenGL extensions to Python. This allows the Python OpenGL developer to use features such as fragment/vertex shaders and image processing on the GPU. It serves as a compliment to PyOpenGL and toolkits such as GLUT and SDL.
    Downloads: 0 This Week
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  • 8
    Jorik is about using graphics processing units in general purpose (GPGPU) computations: parallel sorting, dynamic PDE and image processing. Jorik is written on C++/DirectX/HSLS, supports both ATI and nVidia cards. It suits for not-gaming GPU benchmarking.
    Downloads: 0 This Week
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  • 9
    GPUVision is a framework for creating GPU based general purpose programs, image processing programs, and computer vision programs in C++. Supported libraries include matrix operations, graph partitioning, kernels, corner detection, edge detection etc.
    Downloads: 0 This Week
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