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Visualize, collaborate, and evolve the software architecture with always actual and live diagrams from your code
A habit tracker app which treats your goals like a Role Playing Game.
A list of Free Software network services and web applications which can be hosted on your own servers
A polyglot document intelligence framework with a Rust core. Extract text, metadata, and structured information from PDFs, Office documents, images, and 75+ formats. Available for Rust, Python, Rub…
A fast, cross-platform build tool inspired by Make, designed for modern workflows.
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Spec-driven development (SDD) for AI coding assistants.
Introduction to Machine Learning Systems
A Claude Code plugin that acts as a safety net, catching destructive git and filesystem commands before they execute.
CV/resume generator for academics and engineers, YAML to PDF
Fast, robust Google Flights scraper (API) for Python. (Probably)
Open-source vector similarity search for Postgres
Realtime log viewer for containers. Supports Docker, Swarm and K8s.
Open-source platform to build and deploy AI agent workflows.
Transparent and reproducible medical image processing pipelines in Python.
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
Context layer platform in your infrastructure
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Rust multi‑backend OCR/VLM engine (DeepSeek‑OCR-1/2, PaddleOCR‑VL, DotsOCR) with DSQ quantization and an OpenAI‑compatible server & CLI – run locally without Python.
This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model