Showing 4 open source projects for "dependency"

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    Dotbot

    Dotbot

    A tool that bootstraps your dotfiles

    ...It helps users keep configuration files in version control while automatically linking them into the locations where applications expect to find them. The project is designed to be self-contained, dependency-light, and easy to run from a dotfiles repository. Its configuration can be written in YAML or JSON, making setups readable and repeatable. Dotbot can create folders, clean broken symbolic links, run shell commands, and manage file or folder links. It is especially useful for developers who want an idempotent dotfiles installer that can be safely rerun whenever they sync updates across systems.
    Downloads: 3 This Week
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  • 2
    Stanza

    Stanza

    Stanford NLP Python library for many human languages

    ...It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data.
    Downloads: 7 This Week
    Last Update:
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  • 3
    Zero Install
    Zero Install is a decentralised cross-distribution software installation system. Create one package that works everywhere! With dependency handling and automatic updates, full support for shared libraries, and integration with native package managers
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    Downloads: 1,202 This Week
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  • 4
    Scikit-learn Tutorial

    Scikit-learn Tutorial

    An introductory tutorial for scikit-learn

    Scikit-learn Tutorial contains the materials for Jake VanderPlas’s introductory scikit-learn tutorial, originally used at major Python conferences. It provides a collection of notebooks that walk attendees from basic machine-learning concepts into practical modeling using the scikit-learn library. The tutorial covers data preparation, model fitting, evaluation, and common algorithms such as classification, regression, clustering, and dimensionality reduction. It is designed for people who...
    Downloads: 0 This Week
    Last Update:
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