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++.
FramerD is a semi-structured object database integrated with a Scheme-based scripting language which supports multi-lingual programming (with pervasive Unicode), a stable module system for programming in the large, distributed applications (via an extensible RPC protocol), non-deterministic (PROLOG-like) evaluation for search and set operations, multi-threaded program execution, extensive tools for text and language analysis, built-in HTML/XML/MIME parsers, and intuitive (CGI- and FastCGI-based) Web scripting. The built-in object database robustly supports millions of objects and indexed access to those objects, both through disk files and networked servers.