Showing 2 open source projects for "language learning"

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    GitHubPoster

    GitHubPoster

    Make everything a GitHub svg poster and Skyline

    ...The project is built around loaders that import data and render it as visually recognizable contribution-style graphics. It is useful for people who want to display habits, reading, coding, health, language learning, or other quantified-life records in a GitHub-inspired format. It can be run locally from the command line and can also be automated through GitHub Actions. Its modular approach makes it possible for contributors to add new data sources over time.
    Downloads: 0 This Week
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    TensorFlow Haskell

    TensorFlow Haskell

    Haskell bindings for TensorFlow

    The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests.
    Downloads: 0 This Week
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