Search Results for "framework-arduinoststm32"

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.

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

Ada framework providing work sharing/seeking services for distributing work amongst CPU cores on multi-core machines.

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.