Equip AI coding agents with expert-level ML and AI knowledge for enhanced development and problem-solving.
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Leeroopedia is an expert-level knowledge base for the entire ML & AI stack, designed to empower AI coding agents. It covers over 1000 frameworks and libraries, ranging from fine-tuning and distributed training to inference serving, GPU kernel optimization, agent building, and RAG pipelines. As an MCP server, it seamlessly integrates with various AI coding agents like Claude Code, Cursor, and OpenAI Codex, transforming them into proficient ML/AI expert engineers capable of tackling complex development tasks with best practices.
Key Features
01Comprehensive ML & AI knowledge base spanning 1000+ frameworks and libraries
02Seamless integration with popular AI coding agents (e.g., Claude Code, Cursor, OpenAI Codex)
03Significant performance improvements for agents on ML tasks, validated by benchmarks
04Optional skill file to optimize agent tool selection and workflow
05Supports both hosted server and local installation via uvx
065 GitHub stars
Use Cases
01Optimizing ML inference and writing custom CUDA/Triton kernels
