Showing 3 open source projects for "deep learning toolbox"

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  • 1
    CycleGAN

    CycleGAN

    Software that can generate photos from paintings

    CycleGAN — in its original form — is a landmark in deep learning for image-to-image translation without paired data. Rather than requiring matching image pairs between source and target domains (which are often hard or impossible to obtain), CycleGAN learns two mappings — one from domain A to B, and another back from B to A — along with a cycle-consistency loss that encourages the round-trip to reconstruct the original image.
    Downloads: 0 This Week
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  • 2
    fast-neural-style

    fast-neural-style

    Feedforward style transfer

    ...The repository includes training scripts, pre-trained models, and examples demonstrating how to apply styles efficiently. It also provides insights into the underlying techniques used in neural style transfer, making it both a practical tool and a learning resource. By combining performance and quality, it enables creative applications in image processing and design. Overall, fast-neural-style showcases how deep learning can be used for real-time artistic transformations.
    Downloads: 2 This Week
    Last Update:
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  • 3
    Torch5 provides a matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting language (Lua) and a underlying C++ implementation.
    Downloads: 0 This Week
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