Showing 4 open source projects for "art"

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  • 1
    CycleGAN and pix2pix in PyTorch

    CycleGAN and pix2pix in PyTorch

    Image-to-Image Translation in PyTorch

    ...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
    Argos Translate

    Argos Translate

    Open-source offline translation library written in Python

    Argos Translate uses OpenNMT for translations and can be used as either a Python library, command-line, or GUI application. Argos Translate supports installing language model packages which are zip archives with a ".argosmodel" extension containing the data needed for translation. LibreTranslate is an API and web-app built on top of Argos Translate. Argos Translate also manages automatically pivoting through intermediate languages to translate between languages that don't have a direct...
    Downloads: 124 This Week
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  • 3

    RDRPOSTagger

    A Rule-based Part-of-Speech and Morphological Tagging Toolkit

    ...RDRPOSTagger obtains fast performance in both learning and tagging process. RDRPOSTagger also achieves a very competitive accuracy in comparison to the state-of-the-art results. RDRPOSTagger now supports pre-trained POS and morphological tagging models for Bulgarian, Czech, Dutch, English, French, German, Hindi, Italian, Portuguese, Spanish, Swedish, Thai and Vietnamese. Additionally, RDRPOSTagger supports the pre-trained Universal POS tagging models for 40 languages. See the full usage of RDRPOSTagger at: http://rdrpostagger.sourceforge.net/
    Downloads: 0 This Week
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  • 4

    WebSynonymExtractor

    a synonym extractor based on web-corpora and a multilingual translator

    ...The python application is realised as a kind of pipe that starts with a web-corpus-reader which is followed by several workers (tokenizers, lemmatizers, ...) and finally completed by a result writer. In contrast to the state of the art approaches, this implementation is based on single words found in the web used as a corpus and translated to other languages. If translations of different source words intersect, it is assumed that the source words are synonymous. Finally, the matches are written into a proprietary file format in conjunction with WordNet synsets (note currently the result writer uses a very trivial method for placing the matches into WordNet and will be modified in the near future)
    Downloads: 0 This Week
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