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Next.js example project for setting up Supabase Google OAuth, middleware, protected routes, and dynamic rendering for beginners
Your own API Hub to learn and master API interaction. Ideal for frontend, mobile dev and backend developers.
Drag & drop UI to build your customized LLM flow
Created with StackBlitz ⚡️
AI Outpainting (AI扩图)网站源码
Bananas🍌, Cross-Platform screen 🖥️ sharing 📡 made simple ⚡.
利用AI大模型，一键解说并剪辑视频； Using AI models to automatically provide commentary and edit videos with a single click.
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Card-style Hugo theme designed for bloggers
Ready to use 50+ responsive HTML email templates - Codedmails Free
Use Cursor's chat features with a local LLM model provided by Ollama.
Phaser 3 Template for a Turn Based Strategy Game
Turn based strategy game built with Phaser in TypeScript
A simple turn-based strategy game using Phaser 3
chrome插件 - 阅读英文网页时，不会的单词和词组，通过点击一下按钮就可以进行深度解释。（DeepEE的意思是 Deep English Explain）
Out-of-the-box (OOTB) GUI Agent for Windows and macOS
Adds playful pets 🦀🐱🐶 in your VS Code window
An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI
Automate browser-based workflows with LLMs and Computer Vision
👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻中国独立开发者项目列表 -- 分享大家都在做什么；Chinese Independent Developers Projects List - Discover What Everyone Is Building 👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻
one API to get all user desktop data (local, cross platform, 24/7, screen, voice, keyboard, mouse, camera recording). sandboxed js plugin system. keyboard and mouse control
Prompt, run, edit, and deploy full-stack web applications
https://textbehindimage.rexanwong.xyz - create text behind image designs easily
🎬 卡卡字幕助手 | VideoCaptioner - 基于 LLM 的智能字幕助手，无需GPU一键高质量字幕视频合成！支持生成、断句、优化、翻译全流程。让视频字幕制作简单高效！
Official Implementations for Paper - MagicQuill: An Intelligent Interactive Image Editing System
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model