LunwenToCode is an intelligent code generation system powered by large language models, specifically designed to automatically convert research papers or theses into executable Python code. The system employs a multi-agent collaborative architecture, analyzing paper content, identifying research methodologies, and extracting code requirements to ultimately generate complete Python projects. Supported paper types include empirical research, simulation studies, algorithm design, system design, data analysis, and machine learning. Its dual-LLM architecture separates paper analysis and code generation tasks, optimizing model selection and workload distribution to improve generation efficiency. This open-source project is available on GitHub, providing researchers with a practical tool to accelerate code generation and showcasing innovative AI applications in academia.
