Showing 5 open source projects for "code blocks sample"

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  • 1
    refactoring.nvim

    refactoring.nvim

    The Refactoring library based off the Refactoring book

    refactoring.nvim is a Neovim plugin developed to bring powerful automated code refactoring capabilities to one of the most popular text editors among programmers, giving developers a suite of refactoring operations that streamline repetitive restructuring tasks inside the editor. Built around an intuitive set of commands and a Lua API, the plugin allows users to extract and inline variables or functions, pull blocks of code into new files, and modify code structure without leaving the comfort of Neovim’s modal interface. ...
    Downloads: 0 This Week
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  • 2
    indent-blankline.nvim

    indent-blankline.nvim

    Indent guides for Neovim

    indent-blankline.nvim is a Neovim plugin that adds vertical indentation guides to visually indicate code structure. It supports modern syntax parsing through Treesitter and provides extensive configuration options for appearance, scope highlighting, and context awareness. This plugin is essential for users who want cleaner and more structured code visuals.
    Downloads: 0 This Week
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  • 3
    Headlines.nvim

    Headlines.nvim

    This plugin adds horizontal highlights for text filetypes

    This plugin adds highlights for text file types, like markdown, orgmode, and neorg.
    Downloads: 0 This Week
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  • 4
    lua-resty-openidc

    lua-resty-openidc

    OpenID Connect Relying Party and OAuth 2.0 Resource Server

    lua-resty-openidc is a library for NGINX implementing the OpenID Connect Relying Party (RP) and/or the OAuth 2.0 Resource Server (RS) functionality. When used as an OpenID Connect Relying Party it authenticates users against an OpenID Connect Provider using OpenID Connect Discovery and the Basic Client Profile (i.e. the Authorization Code flow). When used as an OAuth 2.0 Resource Server it can validate OAuth 2.0 Bearer Access Tokens against an Authorization Server or, in case a JSON Web...
    Downloads: 0 This Week
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  • 5
    ResNeXt

    ResNeXt

    Implementation of a classification framework

    ResNeXt is a deep neural network architecture for image classification built on the idea of aggregated residual transformations. Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together. Each branch is a small transformation (e.g. bottleneck block) and their outputs are summed—this enables richer representation without excessive...
    Downloads: 0 This Week
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