基于AI的图片/视频硬字幕去除、文本水印去除，无损分辨率生成去字幕、去水印后的图片/视频文件。无需申请第三方API，本地实现。AI-based tool for removing hard-coded subtitles and text-like watermarks from videos or Pictures.

微信视频号下载工具

"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai

Cross-platform, sophisticated frontend for the libretro API. Licensed GPLv3.

党建管理系统是基于 FastAdmin 框架开发的党建信息管理平台，提供党员管理、组织活动、学习资源等功能。

XRN 是一个面向跨平台应用开发的 React Native 一体化解决方案，旨在为开发者提供统一的 应用开发、构建、发布、依赖管理 能力，并支持灵活的业务模块化扩展。

🥢像老乡鸡🐔那样做饭。主要部分于2024年完工，非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》，并做归纳、编辑与整理。CookLikeHOC.

HarmonyOS Next Docs

Reqable issue track repo

提高 Android UI 开发效率的 UI 库

视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files.

Intercepting browser's http requests which made by XMLHttpRequest.

Production-ready platform for agentic workflow development.

Open screens/snackbars/dialogs/bottomSheets without context, manage states and inject dependencies easily with Get.

保利威 鸿蒙 播放器 SDK demo

VSCode鸿蒙ArkTS插件✨✍️支持各种补全/跳转⛺️支持codelinter检测代码错误🎵VSCode HarmonyOS ArkTS plugin for personal use ✨ ✍️supports source code navigation and completion ⛺️supports codelinter to detect errors

MasterGo Magic MCP is a standalone MCP (Model Context Protocol) service designed to connect MasterGo design tools with AI models.

Modular Cursor AI rules builder with 14+ stars. Create custom AI rulesets for different project types using PowerShell automation. Supports Next.js, SaaS, and e-commerce patterns.

Cursor Helpful files and Prompts

历史上的今天元服务

A flutter package which makes it easier to display the difference between two images.

MetaLowCode——美乐低代码，企业级全栈低代码开发平台。私有部署，源码交付。

微信视频号下载器

Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.

Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.

amis react 初始项目示例

Clone a voice in 5 seconds to generate arbitrary speech in real-time

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

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