Papers with Code

Papers with Code is an open-source platform that tracks trending AI research by connecting academic papers with their official code implementations, datasets, and benchmark leaderboards. It serves as a community-driven successor to the original Meta-operated platform, providing a comprehensive catalog of machine learning artifacts and research tools.

Papers with Code is an open-source platform that tracks trending AI research by connecting academic papers with their official code implementations, datasets, and benchmark leaderboards. It serves as a community-driven successor to the original Meta-operated platform, providing a comprehensive catalog of machine learning artifacts and research tools.

• 01Comprehensive paper catalog with links to code, datasets, and Hugging Face Spaces
• 02Browsable taxonomy of AI tasks, methods, and benchmark leaderboards
• 03Hybrid search engine using pg_trgm and pgvector for semantic retrieval
• 04Automated curation workflows for daily paper imports and evaluation updates
• 05Public REST API compatible with original Papers with Code clients
• 06Optional research chat assistant grounded in the catalog