Discover @voldikss Open Source projects

@voldikss

voldikss

Stars
3,919
Global Rank 7,019 (Top 0.3 %)
Followers 271
Following 50
Registered almost 8 years ago
Most used languages

Vim Script
46.7 %

TypeScript
40.0 %

Jupyter Notebook
3.3 %

Rust
3.3 %

JavaScript
3.3 %

Python
3.3 %
Location 🇨🇳 China
Country Total Rank 1,433
Country Ranking

Vim Script
8

TypeScript
334

Rust
957

Jupyter Notebook
5,605

Python
6,377

vim-floaterm

💻 Terminal manager for (neo)vim

vim-translator

📕 Translating plugin for Vim/Neovim

coc-todolist

[Deprecated due to an unfixable bug and crappy design]🕐 Todolist/task manager extension for (Neo)Vim

coc-browser

See https://github.com/voldikss/coc-extensions

coc-extensions

🌸 Collections of coc.nvim extensions maintained by @voldikss

coc-cmake

See https://github.com/voldikss/coc-extensions

vim-browser-search

🌀 Perform a quick web search for the text selected in (Neo)Vim

vim-skylight

💡Search asynchronously and preview file/symbol under cursor in the floating window.

vim-codelf

(Neo)Vim plugin for searching variable names

coc-floaterm

See https://github.com/voldikss/coc-extensions

coc-tasks

See https://github.com/voldikss/coc-extensions

coc-github

🐙 Github issue source for coc.nvim

dotfiles

My configuration files

fzf-floaterm

Fzf support for vim-floaterm

vim-hello-word

一个用来背单词的 (Neo)Vim 插件

vim-wenyan

Vim plugin for wenyan-lang(syntax, snippets, etc.)

coc-gist

See https://github.com/voldikss/coc-extensions

coc-just-complete

See https://github.com/voldikss/coc-extensions

LeaderF-everything

Use everything.exe in (neo)vim.

coc-lsp-wl

See https://github.com/voldikss/coc-extensions

translator-rs

coc-dot-complete

See https://github.com/voldikss/coc-extensions

vim-find-everything

Use everything.exe in (neo)vim.

coc-dash-complete

See https://github.com/voldikss/coc-extensions

HelloElectsys

🐸 Huck the electsys

clap-floaterm

vim-clap support for vim-floaterm

vim-fnote

LeaderF-floaterm

LeaderF support for vim-floaterm

LeaderF-emoji

EE369-2048-AI

Use supervised learning (imitation learning) and tree searching approaches to solve the game of 2048.

Jupyter Notebook