Showing 4 open source projects for "computer based test"

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  • 1
    CycleGAN and pix2pix in PyTorch

    CycleGAN and pix2pix in PyTorch

    Image-to-Image Translation in PyTorch

    CycleGAN and pix2pix in PyTorch repository is a PyTorch implementation of two influential image-to-image translation frameworks: CycleGAN (for unpaired translation) and pix2pix (for paired translation). 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. ...
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  • 2
    MTBook

    MTBook

    Machine Translation: Foundations and Models

    This is a tutorial, the purpose is to introduce the basic knowledge and modeling methods of machine translation systematically, and on this basis, discuss some cutting-edge technologies of machine translation (formerly known as "Machine Translation: Statistical Modeling and Deep Learning") method"). Its content is compiled into a book, which can be used for the study of senior undergraduates and graduate students in computer and artificial intelligence related majors, and can also be used as...
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  • 3
    Smulsa 2001 is a multilanguage two-way translator, transliterator, and dictionary. Its dependencies are gambas2-ide & gambas2-gb-db-sqlite. The application needs its database to run properly. Smulsa 2001 adalah penerjemah, pengalih aksara, dan kamus dua arah multibahasa. Dependensinya gambas2-ide & gambas2-gb-db-sqlite. Aplikasi ini memerlukan basisdatanya untuk berjalan dengan baik.
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  • 4
    A unique natural-language processing software, called Discovery, created on the CA Visual Objects/Vulcan.NET environment, which also has potential for effective "shallow approach" machine translation.
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