The SWORD Project is an effort to create an ever expanding software package for research and study of God and His Word. Libraries are developed in ANSI-draft standard C++ and currently compile on Linux and in WIN32 environments. Frontends complete and currently under development include commandline tools, gtk, wxGTK, Qt, Gtk--, and WIN32 C++Builder). Addon modules include Bible texts, commentaries, lexicons, and dictionaries in a variety of languages.
EAsea Specification of Evolutionary Algorithms (EASEA), is a high-level language dedicated to the specification of evolutionary algorithms. The language and compiler are quite mature. EASEA compiles .ez specification files into C++ or Java object files, using existing evolutionary libraries. Supported C++ libraries currently are GALib or EO.
Ekiga (formely known as GnomeMeeting) is a soft phone, video conferencing, and instant messenger application for use over the Internet. It supports HD sound quality and video up to DVD size and quality. It is interoperable with many other standards compliant software, hardware, and service providers as it uses both of the major telephony standards, SIP and H.323.
libQGLViewer is a C++ library based on Qt that eases the creation of OpenGL 3D viewers. It provides some of the typical 3D viewer functionality, such as the ability to move the camera using the mouse, which is lacking in most of the other APIs. Other features include mouse manipulated frames, interpolated keyFrames, object selection, stereo display, screenshot saving, and much more. It can be used by OpenGL beginners as well as to create complex applications, being fully customizable and easy to extend. It ships with many examples and comprehensive documentation.
MemAid is like a traditional flashcard program to help you memorize question/answer pairs, but with an important twist: it uses a neural network to schedule the best time for an item to come up for review. Difficult items that you tend to forget quickly will be scheduled more often, while MemAid won't waste your time on things you remember well. This means that your learning process becomes much more efficient, because the neural network gradually adapts to your personal memory model.