Showing 2 open source projects for "multi-layer perceptron python"

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  • 1
    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

    Unsupervised Machine Translation is a research repository that implements both phrase-based SMT and neural MT approaches for translation without parallel corpora. The neural component supports multiple architectures—seq2seq, biLSTM with attention, and Transformer—and allows extensive parameter sharing across languages to improve data efficiency. Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually...
    Downloads: 1 This Week
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