Showing 3 open source projects for "code block"

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    conform.nvim

    conform.nvim

    Lightweight yet powerful formatter plugin for Neovim

    conform.nvim is a lightweight formatting plugin that integrates external code formatters into Neovim. It calculates minimal text differences instead of blindly replacing the entire buffer after formatting. This approach preserves folds, extmarks, cursor position, and other editor state more reliably. It can also repair responses from LSP formatters that otherwise replace complete buffers. Range formatting works even with many underlying formatters that do not natively provide that...
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  • 2
    Aniseed

    Aniseed

    Neovim configuration and plugins in Fennel (Lisp compiled to Lua)

    ...Allowing you to easily write plugins or configurations in a Clojure-like Lisp with great runtime performance. For interactive evaluation, you need to install Conjure as well. It’ll allow you to send portions of your code off for evaluation as well as see the results in an interactive log buffer. Aniseed ships with a set of module macros that make interactive evaluation not only possible but rich and intuitive. You should read:h aniseed to learn the details but it’s worth mentioning that you opt-in by starting your file with a (module …​) block, you then export values from your module with the (def…​) macros.
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  • 3
    ResNeXt

    ResNeXt

    Implementation of a classification framework

    ...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 parameter blowup. The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. The official repository offers a Torch (Lua) implementation with code for training, evaluation, and pretrained models on ImageNet. ...
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