imagesorcery-mcp
An MCP server providing tools for image processing operations
HYSEN LABS DIRECTORY
Language tag · curated repositories and deep analysis.
An MCP server providing tools for image processing operations
An intentionally vulnerable OWASP LLM Top 10 training platform for AI Security, Prompt Injection, RAG Security, Agent Security, and GenAI penetration testing.
:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)
An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
Lightweight AI Agent Harness for agentic coding: let strong models explore while humans steer with minimal specs, checkpoints, approval, validation, and reverse sync.
AudioBench: A Universal Benchmark for Audio Large Language Models
Karpathy LLM based claude harness for PenetrationTesting / Bugbounty using obsidian
Astronomy LLMs, StarWhisper Telescope, Virtual Sitian, and astronomy research skills
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix
Accessible and interoperable whole slide image analysis
A free, no-signup, no-API-key Taiwan legal MCP server and CLI with 22.5 million court rulings, administrative interpretations, and constitutional court decisions, plus citation verification. For Claude, ChatGPT, and Codex - bring your own LLM, retrieval-only.
Dashboard for monitoring claude code sessions.
Open-source CLI, API, web UI, and reproducible benchmarks for probabilistic AI-generated image detection.
From ticket to reviewed pull request. Free and open-source, on your machine.
🤖 LLM-powered agent for automated Google Dorking in bug hunting & pentesting.
Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.
"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Shihui Ying, Xingliang Hou, Shiquan Liu, Mingyuan Yang, Junchang Li, Shaoyi Du, Nanning Zheng, Han Hu, and Yue Gao.
Reliable, minimal and scalable library for pretraining foundation and world models
Agent skills for interacting with Railway
Your faithful, impartial partner for audio evaluation - know yourself, know your rivals. A unified benchmark framework for ASR/TTS/Audio Codec/audio LLM evaluation.