The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
- ai
- ast
- claude-code
- code-analysis
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The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
A fast and reliable background task processing library for Python 3.
Superduper: End-to-end framework for building custom AI applications and agents.
:cookie: A full-featured, hackable tiling window manager written and configured in Python (X11 + Wayland)
Persistent memory for Claude Code, Codex and 6 other AI agents, stored as plain markdown in your Obsidian vault. New: Crew, one shared logbook so Claude Code, Codex, Cursor and Grok Bot know what each other did. 48 commands: semantic search, self-rewriting notes, key-less research, scheduled agents.
This tool has been deprecated. Use Agentic Document Extraction instead.
A supercharged AWS command line interface (CLI).
StarGAN - Official PyTorch Implementation (CVPR 2018)
Sellbird (formerly Harvey): the open-source outreach platform that runs on your Claude or ChatGPT plan. Finds companies and decision makers, verifies emails, writes personal cold email, sends it and handles the replies.
Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.
Language Technology Platform
Probabilistic time series modeling in Python
Agent-ready RPA suite with out-of-the-box automation tools. Built for individuals and enterprises.
An Agentic Framework for Reflective PowerPoint Generation
Skill to give Claude Code (and any coding agent) the ability to generate beautiful and practical Excalidraw diagrams.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM
A PyTorch Implementation of Single Shot MultiBox Detector
Open-Source Unified Vulnerability Management, DevSecOps & ASPM
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.
A Next-Generation Training Engine Built for Ultra-Large MoE Models
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image