🤖 A powerful, lightweight JavaScript library + interactive CLI for ChatGPT
基于Pengu loader的英雄联盟客户端增强插件；LOL助手；sona助手；LOL插件；A LOL plugin base on Pengu loader; sona plugin;
Pure 100% java reactive-style client-side webpages with POJO traffic, jUnit GUI testing, declarative view-on-model, automatic browser reloading and more.
AE2 / Refined Storage like **clientside** mod, featuring crafting terminal search, inventory layout presets and more!
A UI showing unit positions and names of units in your squad
LeyHitreg - Fix hitboxes - no more fake hits!
Muffle those nasty sounds - Client side sound Muffler
A Minecraft Attribute Editor for creative players
Highly customizable hud for GMOD
Convert a string of HTML into a DocumentFragment
It's a Vanilla JavaScript widget that can detect a user's internet connection status and display a notification if the user disconnected from the internet in real-time, you can customize this widget and use it on your website or web application, I also created 2 CSS animations to display and hiding that notification
This resource makes FiveM client-server development easier & more structured with helpful callbacks.
BrowseDB is a javascript clientside library for managing localStorage data in mongoose style.
Garry's Mod ClientSide module to intercept, decode, and save voice chat packets as WAV files.
A web-based tool for exploring and learning Japanese Kanji. Kanji Vault provides a clean, searchable, and filterable interface to a comprehensive database of over 13,000 Kanji characters, making it an ideal resource for students of the Japanese language. Users can easily filter Kanji by their Japanese Language Proficiency Test (JLPT) level, from N5
LinkVault is a modern, client-side web application designed to be a personal, enhanced bookmark manager. It offers a robust and intuitive interface for organizing, storing, and managing your favorite web links with features like dynamic grid display, intelligent search, multiple sorting options, deduplication, drag-and-drop reordering, and flexible
Matlab Implementation for Federated Multi-View K-Means Clustering
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