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A library and a GUI front-end for fuzzy machine learning
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 features...
The GNAVI project provides GWindows, a Rapid Application Development framework for Graphical User Interfaces on MS Windows.
The durable Open Source answer to Delphi and Visual Basic.
Alire crate: https://alire.ada.dev/crates/gwindows
Mirror: https://github.com/zertovitch/gwindows
SPARKUnit is a unit test framework for the SPARK programming language. It enables developers to create unit tests which can be analysed by the SPARK Examiner. This allows for testing of operations with preconditions and flow analysis of test cases.
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