This is the Windows app named Papers with Code whose latest release can be downloaded as pwcsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Papers with Code
DESCRIPTION:
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 Although the repository itself is no longer actively maintained, it still provides a historical dataset that reflects many influential research publications and their associated implementations.
Features
- Dataset linking machine learning research papers with code repositories
- Categorization of papers by conference and research topic
- Searchable metadata including titles, code links, and publication venues
- Historical archive of AI research implementations
- Structured data files for programmatic analysis of research repositories
- Support for studying reproducibility and research trends in machine learning
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/papers-with-code.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.