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Source channel @githubtrending · Post #15096 · Aug 26

#lua#layout#lua#neovim#neovim_plugin#neovim_ui#nvim#plugin#scratchpad#ui#ux#zen_mode#zenmode The no-neck-pain.nvim plugin for Neovim centers your active editing window by adding empty buffers on each side, creating padding that keeps your focus in the middle of the screen. It works right away without setup, supports multiple tabs, split windows, and integrates with popular file tree and dashboard plugins. You can customize its width, colors, and behavior, and even use the side buffers as scratchpads for notes. This helps reduce neck strain and improves focus, especially on wide monitors, by keeping your code or text centered and easy to read without distractions. https://github.com/shortcuts/no-neck-pain.nvim

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#lua #layout #neovim #neovim_plugin #neovim_ui #nvim #plugin #scratchpad #ui #ux #zen_mode #zenmode

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@githubtrending · Post #15271 · 11/05/2025, 12:30 PM

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#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite

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#cplusplus #arm #baidu #deep_learning #embedded #fpga #mali #mdl #mobile #mobile_deep_learning #neural_network