We launched Papers with Code in July 2018 with the simple idea of helping the community track newly published machine learning papers with source code and quickly understand the current state of the art. Since that time, it has grown into a general resource for machine learning, with over 18,000 papers with code, over 1,000 tasks, and over 1,500 leaderboards.
Anyone can contribute to Papers with Code and all data is released under a permissive open license (CC-BY-SA). We are thankful to the thousands of contributors who have added results, papers and code to the resource.
Today we are excited to announce we are joining Facebook AI to further accelerate our growth.
Facebook AI has been a strong advocate for reproducibility and open access, leading the way in publishing code and models alongside their research. There is a strong strategic alignment and we are looking forward to the coming year and what we can achieve together.
Papers with Code will remain a neutral, open and free resource. There will be no changes to how the service runs or how the community can engage with the site. We’re committed to the independence of this platform and are confident that joining Facebook AI will enable us to grow this resource for the entire community, supporting all frameworks and research areas.
We are really excited for the future of Papers with Code and for what’s to come in 2020!
Robert Stojnic & Ross Taylor