Fast Artificial Neural Network Library is a neural network library that implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. C++, Perl, PHP, .NET, Python, Delphi, Octave, Pure Data, and Mathematica bindings are available. A reference manual accompanies the library with examples and recommendations on how to use the library. A graphical user interface is also available for the library.
CodeWorker is a versatile parsing tool and a universal source code generator. It interprets a scripting language for producing reusable, tailor-made, evolving, and reliable IT systems with a high level of automation. The file formats to parse are described in an extended-BNF syntax. Template-based scripts drive the writing of patterns for generating code or text. The code generation knows how to preserve protected areas with hand-typed code and provides code expansion, source-to-source translation, and program transformation. It provides a native translation of CodeWorker's scripts in C++.
NUS (Nemesis Utilities System) is a cross-platform C++ application development framework that focuses on the development of network applications, non-GUI applications, CGI scripts, database applications, and any kind of application that needs interoperability. NUS is very modular, making it easy to maintain, debug, and deploy. The library was greatly inspired by other libraries such as Trolltech's Qt.