Papers With Code

Papers With Code is a free and open resource that tracks state-of-the-art machine learning papers, code, datasets, methods, and evaluation tables. It serves as a comprehensive hub for discovering and exploring the latest academic AI research and its corresponding code implementations from the broader scientific community. This platform facilitates the discovery and comparison of AI advancements. The platform aggregates state-of-the-art results from academic papers across numerous machine learning tasks. It provides extensive leaderboards based on reported benchmark scores, supporting the reproducibility of AI advancements. Papers With Code is research-oriented, offering a deeper dive into technical aspects and reported SOTA metrics.