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.
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About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.