Showing 3 open source projects for "nvidia"

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    Roblox Shaders

    Roblox Shaders

    Roblox Shader – Download on Any GPU

    Roblox Shader – Universal Graphics Enhancement for All GPUs Roblox Shader is a high-performance, universal shader mod designed to enhance Roblox graphics with realistic lighting, shadows, and post-processing effects. This shader pack is optimized for all graphics cards, including NVIDIA, AMD, and Intel GPUs, ensuring compatibility across virtually any system. Whether you're looking to improve Roblox visuals with better lighting or want a more immersive gaming experience, Roblox Shader delivers stunning results with minimal performance impact. Easy to install and remove, this shader is perfect for players who want to customize Roblox graphics without needing advanced technical knowledge. ...
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    Downloads: 0 This Week
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  • 2
    OpenFace Face Recognition

    OpenFace Face Recognition

    Face recognition with deep neural networks

    ...This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources. Accuracies from research papers have just begun to surpass human accuracies on some benchmarks. The accuracies of open source face recognition systems lag behind the state-of-the-art. ...
    Downloads: 1 This Week
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  • 3
    DCGAN.torch

    DCGAN.torch

    Train your own image generator

    ...Pretrained generators support synthetic image creation and exploration of learned visual representations. Additional scripts enable latent space interpolation and vector arithmetic between generated images. The software supports NVIDIA GPU acceleration through CUDA and cuDNN, with optional browser-based training visualization. It serves as a historical research implementation of convolutional generative modeling.
    Downloads: 0 This Week
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