Papers with Code

pwc is an open-source repository that compiles machine learning and artificial intelligence research papers together with their corresponding implementation code. The project functions as a curated dataset linking academic publications with practical software implementations, allowing researchers and engineers to quickly locate code that reproduces published results. The repository organizes information such as paper titles, conferences, and links to code implementations so that users can explore recent developments in machine learning more efficiently. It was originally created to support the discovery and reproducibility of AI research by connecting scholarly work with working software projects. Although the repository itself is no longer actively maintained, it still provides a historical dataset that reflects many influential research publications and their associated implementations.