Home Assistant integration for controlling Powered by Tuya (PBT) devices using Tuya Open API, maintained by the Home Assistant Community and Tuya Developer Team.

🇨🇳 HACS 极速版

HACS gives you a powerful UI to handle downloads of all your custom needs.

logback扩展，集成transmittable-thread-local支持跨线程池的mdc跟踪

海尔智能家居设备接入HomeAssistant

mybatis-generator界面工具，让你生成代码更简单更快捷

🎨 《重学Java设计模式》是一本互联网真实案例实践书籍。以落地解决方案为核心，从实际业务中抽离出，交易、营销、秒杀、中间件、源码等22个真实场景，来学习设计模式的运用。欢迎关注小傅哥，微信(fustack)，公众号：bugstack虫洞栈，博客：https://bugstack.cn

ramlog like for systemd (Put log into a ram folder)

Windows inside a Docker container.

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

Megacity-Metro: a thrilling shooter game, using Netcode for Entities for a multiplayer experience supporting 128+ players. Latest DOTS packages and Unity Gaming Services elevate the user experience…

A browser based code editor

Monaco Editor for Vue3

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java

springboot-learning

一些公共组件及学习应用：RPC/统一配置中心/基于注解的分布式锁/dubbo请求级缓存/调用链追踪/RabbitMQ/Elasticsearch/zookeeper/Sping boot

A web based graphical editor of ZMK keymaps.

Repository with zmk-config for Dao keyboard firmware

🤖️ Cross-platform AI language practice app （跨平台AI语言练习应用）

This is an AI agent for Street Fighter II Champion Edition.

一份通俗易懂、风趣幽默的Java学习指南，内容涵盖Java基础、Java并发编程、Java虚拟机、Java企业级开发、Java面试等核心知识点。学Java，就认准二哥的Java进阶之路😄

Simple script for create polaroid photo format

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Software tools/utilities made by others to augment the KiCad PCB EDA suite.

A cloud-native vector database, storage for next generation AI applications

HanLP Analyzer for Elasticsearch

KiCad library for various Type-C USB connectors

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech