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Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent...

Gnoga uses modern web technologies to allow simple creation of cross platform GUIs for Ada with native or custom look and feels that perform on par to native toolsets locally and can be easily and securely remoted as web apps over the internet as well.

Agar provides a base GUI framework and a standard set of widgets from which graphical applications can be built which run natively under X11, Windows, MacOS, SDL and others. It takes advantage of texture and GPU acceleration wherever available. Agar can also attach to an existing framebuffer, SDL or OpenGL context and operate as a self-contained window-manager. It includes a standard library of general-purpose widgets, and is also designed to be extended externally. New widgets can be...