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Extract text from any image, video, QR Code and etc.
A curated list of awesome JavaScript Games 🎮
MCP Toolbox for Databases is an open source MCP server for databases.
Functional HTML forms for Front-End Developers.
"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai Tech Report Link: https://arxiv.org/abs/2512.10971
The most complete academic search engine.
Pure go library for creating and processing Office Word (.docx), Excel (.xlsx) and Powerpoint (.pptx) documents
Deploy Your Frontend in a Single Command
iCraft Editor - Help you easily create excellent 3D architecture diagrams
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
BlenderLLM: A LLM specifically designed to generate CAD scripts based on user instructions. These scripts are then executed in Blender to render 3D models.
Spacedeck, a web based, real time, collaborative whiteboard application with rich media support
A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally
Curated resources, research, and tools for securing AI systems
CRADLE is a collaborative platform for Cyber Threat Intelligence analysts. It streamlines threat investigations with integrated note-taking, automated data linking, interactive visualizations, and …
EVA is an AI-assisted penetration testing agent that enhances offensive security workflows by providing structured attack guidance, contextual analysis, and multi-backend AI integration.
Official Code Repo for UniVA: Universal Video Agents
The world's most powerful open-source financial AI assistant - Access institutional-grade financial data, run complex analyses, and create stunning visualizations, all through natural conversation.
"OpenPhone: Mobile Agentic Foundation Models for AI Phone"
Vibe Workflow Platform for Non-technical Creators.
NanoCluster: Compact & Affordable Cluster for Everyone
A minimal Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"