Paper2Code introduces PaperCoder, a multi-agent pipeline that automates code generation from ML scientific papers. The system follows three stages: planning, analysis, and code generation, each handled by specialized agents. It supports both OpenAI API and open-source models via vLLM. The project includes benchmark datasets (Paper2Code, PaperBench) for evaluating the quality of generated code repositories from academic papers.