Showing 4 open source projects for "training"

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    CycleGAN and pix2pix in PyTorch

    CycleGAN and pix2pix in PyTorch

    Image-to-Image Translation in PyTorch

    ...This repo gives developers and researchers a convenient, modern (PyTorch-based) platform to train and test these methods — supporting both paired datasets (input to output) and unpaired datasets (domain-to-domain) with minimal changes. The code supports standard training and inference pipelines, and as of recent updates, compatibility with the latest Python and PyTorch versions (e.g. Python 3.11, PyTorch 2.4) as well as support for distributed/multi-GPU training for scalable workflows. Because of its flexibility, users can apply it to many tasks: e.g. style transfer between domains (e.g. season changes, art-to-photo, etc.), mapping sketches/edges to real images, image colorization, day-to-night, photo enhancement, and more.
    Downloads: 0 This Week
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  • 2
    UnsupervisedMT

    UnsupervisedMT

    Phrase-Based & Neural Unsupervised Machine Translation

    ...Beyond the core EMNLP 2018 setup, the codebase exposes additional, optional capabilities such as multi-language training, language model pretraining with shared parameters, and adversarial training.
    Downloads: 3 This Week
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  • 3
    mgiza has now moved to github https://github.com/moses-smt/mgiza
    Downloads: 0 This Week
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  • 4
    Distributed phrase-based machine translation training tool based on Hadoop.
    Downloads: 0 This Week
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