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Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Spanish legislation as a Git repo — every law is a Markdown file, every reform a commit. 8,600+ laws.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Python script to load firmware using STM32 bootloader
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
🔥 🔥 🔥 The Open Source Retool Alternative
Create web-based user interfaces with Python. The nice way.
Python tool for converting files and office documents to Markdown.
A continuation of HomeBox the inventory and organization system built for the Home User
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A lightweight, lightning-fast, in-process vector database
An opinionated, physics-based toast component for React.
Test spies, stubs and mocks for JavaScript.
Monkey testing library for web apps and Node.js
Fast drag and drop for any experience on any tech stack
📮 A fully featured open source mail delivery platform for incoming & outgoing e-mail
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Source code for the X Recommendation Algorithm
A simple, modern, and dynamic dashboard for your Traefik services.
🤖 A minimal and customizable Docker image running the Android emulator as a service.
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Always know what to expect from your data.