A platform that indexes over 500,000 ML/AI research papers that lack public code implementations and maps them to their corresponding GitHub repositories, surfacing which papers still have no public implementation.

Built with: Python, web scraping / indexing pipeline

Live site: papers2code.org

• Indexes 500k+ ML/AI papers that have no publicly available code implementations
• Built an automated paper-to-GitHub matching pipeline across 500k+ ML/AI papers, surfacing which papers lack public implementations
• Engineered infrastructure to facilitate reproducible implementations for ML research papers lacking public code
• Running continuously since January 2024

January 2024 – Present