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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; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.
Deepend is a storage pool with subpool capabilities for Ada 2022, Ada 2012, Ada 2005, and Ada 95. Memory allocations can be associated with subpools and subpools can be deallocated as a whole which provides a safer alternative than managing deletions of individual objects. It also is likely to be more deterministic and efficient than garbage collection.
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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The Widget Set for Super-Light Applications is a minimalist GUI toolkit written in Pascal. Rendering backends include Xlib, SDL and DirectFB. Visit our trac wiki for more information and updates: http://sourceforge.net/apps/trac/wiseslap
FracAda is the Ada 2005 implementation of the Fractal component model
[http://fractal.ow2.org/]
It is an experimental project using the GNAT (GPL) compiler