  This paper presents LIBTwinSVM, a free, efficient, and open source library
for Twin Support Vector Machines (TSVMs). Our library provides a set of useful
functionalities such as fast TSVMs estimators, model selection, visualization,
a graphical user interface (GUI) application, and a Python application
programming interface (API). The benchmarks results indicate the effectiveness
of the LIBTwinSVM library for large-scale classification problems. The source
code of LIBTwinSVM library, installation guide, documentation, and usage
examples are available at https://github.com/mir-am/LIBTwinSVM.
