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A high-quality PDF to Markdown tool based on large language model visual recognition. 一款基于大模型视觉识别的高质量PDF转Markdown工具
Toolkit for linearizing PDFs for LLM datasets/training
这个项目是一个基于 Cloudflare Workers 的 Docker 镜像代理工具。它能够中转对 Docker 官方镜像仓库的请求,解决一些访问限制和加速访问的问题。
GitHub star history and stats - based on JavaScript only!
Change the dates of several git commits with a single command
Transform local audio folders into private podcast RSS feeds - listen with any podcast app and sync progress across devices.
Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.
AI reads books: Page-by-Page PDF Knowledge Extractor & Summarizer. script performs an intelligent page-by-page analysis of PDF books, methodically extracting knowledge points and generating progres…
Your AI Operator for Web, Android, Automation & Testing.
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
AI ContentCraft is an all-in-one content creation suite that helps creators generate stories, podcast scripts, and multimedia content using AI-powered text generation, speech synthesis, and image g…
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
Magic to turn Cursor/Windsurf as 90% of Devin
Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase
网易云音乐油猴脚本:云盘歌曲快传(含周杰伦),歌曲下载,转存云盘,云盘匹配纠正...
高颜值的第三方网易云播放器,支持 Windows / macOS / Linux
🤗更优雅的微信公众号订阅方式,支持私有化部署、微信公众号RSS生成(基于微信读书)
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具,将PDF转换成Markdown和JSON格式。
💡 Use Docker Compose to deploy Xiaoya services in a more elegant way, supports one-click deployment of Alist + Emby + Jellyfin, full-platform support, Linux/Windows/Mac/Synology, X86/Arm architecture
🔄 A simple tool to backup and sync your git repositories
这个项目允许你通过Cloudflare Workers安全地访问GitHub私有仓库中的原始文件,无需直接暴露你的GitHub令牌。
Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components.