MLxtend swMATH ID: 29046 Software Authors: Sebastian Raschka; et.al. Description: MLxtend: Providing machine learning and data science utilities and extensions to Python’s scientific computing stack. Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Homepage: https://www.theoj.org/joss-papers/joss.00638/10.21105.joss.00638.pdf Source Code: https://github.com/rasbt/mlxtend/ Dependencies: Python Keywords: JOSS; Journal Open Source Software; Python; machine learning; data mining; utilities Related Software: Python; Scikit; XGBoost; Timbre Toolbox; NumPy; hctsa; tsfresh; cesium; FATS; TSFEL; arulespy; ggplot2; htmlwidgets; RPy; UCI-ml; visNetwork; plotly; rpy2; Matrix; arulesViz Cited in: 1 Document Standard Articles 2 Publications describing the Software, including 1 Publication in zbMATH Year MLxtend: Providing machine learning and data science utilities and extensions to Python’s scientific computing stack Link Sebastian Raschka; et.al. 2018 ADER-DG with a-posteriori finite-volume limiting to simulate tsunamis in a parallel adaptive mesh refinement framework. Zbl 1410.86006Rannabauer, Leonhard; Dumbser, Michael; Bader, Michael 2018 Cited by 3 Authors 1 Bader, Michael 1 Dumbser, Michael 1 Rannabauer, Leonhard Cited in 1 Serial 1 Computers and Fluids Cited in 3 Fields 1 Numerical analysis (65-XX) 1 Fluid mechanics (76-XX) 1 Geophysics (86-XX) Citations by Year