Showing 2 open source projects for "s-transform"

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    LazyVim

    LazyVim

    Neovim config for the lazy

    LazyVim is a Neovim setup powered by 💤 lazy.nvim to make it easy to customize and extend your config. Rather than having to choose between starting from scratch or using a pre-made distro, LazyVim offers the best of both worlds - the flexibility to tweak your config as needed, along with the convenience of a pre-configured setup.
    Downloads: 1 This Week
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    fast-neural-style

    fast-neural-style

    Feedforward style transfer

    The fast-neural-style project is an implementation of neural style transfer techniques optimized for real-time image processing. It uses convolutional neural networks to apply artistic styles to images, enabling users to transform photos into stylized outputs inspired by famous artworks. Unlike earlier approaches that required expensive optimization per image, this project leverages feed-forward networks to achieve fast inference, making style transfer practical for real-world applications. The repository includes training scripts, pre-trained models, and examples demonstrating how to apply styles efficiently. ...
    Downloads: 0 This Week
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