June 12, 2021

A New arXivLabs Feature Provides Instant Access to Code

From the arXiv.org Blog:

Today, arXivLabs launched a new Code tab, a shortcut linking Machine Learning articles with their associated code. arXivLabs provides a conduit for collaboration that invites community participation while allowing arXiv developers to focus on core services. This Code feature was developed by Papers with Code, a free resource for researchers and practitioners to find and follow the latest Machine Learning papers and code.

When a reader activates the Code tool on the arXiv abstract record page, the author’s implementation of the code will be displayed in the tab, if available, as well as links to any community implementations. This instant access allows researchers to use and build upon the work quickly and easily, increasing code accessibility and accelerating the speed of research.

Learn More, Read the Complete Blog Post

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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