Showing 4 open source projects for "gpu"

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  • 1

    ClooWrapperVBA

    COM-wrapper of Cloo to execute OpenCL code from Excel.

    The wrapper allows to execute OpenCL code on CPU and GPU devices from VBA. Sources are available under https://github.com/Excel-lent/ClooWrapperVBA
    Downloads: 1 This Week
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  • 2
    NiftyNet

    NiftyNet

    An open-source convolutional neural networks platform for research

    An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging...
    Downloads: 0 This Week
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  • 3
    Dopamine

    Dopamine

    Framework for prototyping of reinforcement learning algorithms

    ...It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important by Hessel et al., n-step Bellman updates, prioritized experience replay, and distributional reinforcement learning. For completeness, we also provide an implementation of DQN (Mnih et al., 2015). ...
    Downloads: 0 This Week
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  • 4

    OpenShader

    Open architecture GPU simulator and implementation

    Documentation, simulator, compiler, and Verilog implementation of a completely open-architecture graphics processing unit. This design is intended for academic and commercial purposes. The first step is to develop a detailed GPU simulator and compiler. The second step is to implement the GPU in synthesizable Verilog. The third step is to develop a feedback loop between the simulator and implementation, allowing power, performance, and reliability aspects of the hardware to feed back into ever more detailed and accurate simulations of a complete GPU. ...
    Downloads: 0 This Week
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