tag:joss.theoj.org,2005:/papers/reviewed_by/@mlgillJournal of Open Source Software2018-06-18T19:05:30ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/4782018-06-18T19:05:30Z2021-02-15T11:33:26Zmlpack 3: a fast, flexible machine learning libraryacceptedv3.0.02018-04-24 20:49:42 UTC262018-06-18 19:05:30 UTC32018726RyanR.CurtinCenter for Advanced Machine Learning, Symantec Corporation0000-0002-9903-8214MarcusEdelInstitute of Computer Science, Free University of Berlin0000-0001-5445-7303MikhailLozhnikovMoscow State University, Faculty of Mechanics and Mathematics0000-0002-8727-0091YannisMentekidisNone0000-0003-3860-9885SumedhGhaisasNone0000-0003-3753-9029ShangtongZhangUniversity of Alberta0000-0003-4255-136410.21105/joss.00726https://doi.org/10.5281/zenodo.1292120C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.00726.pdfmachine learning, deep learning, c++, optimization, template metaprogrammingtag:joss.theoj.org,2005:Paper/4392018-04-22T13:05:17Z2021-02-15T11:33:32ZMLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stackacceptedv0.11.02018-03-15 16:08:53 UTC242018-04-22 13:05:17 UTC32018638SebastianRaschkaMichigan State University0000-0001-6989-449310.21105/joss.00638https://doi.org/10.5281/zenodo.1226560Pythonhttps://joss.theoj.org/papers/10.21105/joss.00638.pdfmachine learning, data science, association rule mining, ensemble learning, feature selection