Leevi is a user interface for the Lexicon MX300 reverberation device (and possibly other MX devices). It is similar to what Lexicon ships along with their devices for Windows operating systems. Leevi works with POSIX compatible operating environments, like Linux, FreeBSD, NetBSD, OpenBSD, and so on.
Skrooge is a personal finances manager powered by KDE. It allows you to keep track of your expenses and income, categorize them, and build reports. You can also manage your investments and see how they perform over time. Multiple accounts are supported. Some of the features included are advanced graphical reports, tabs that help you to organize your work, infinite undo/redo (even after the file was closed), instant filtering on operations and reports, infinite category levels, mass update operations, scheduled operations, tracking of refunds, automatic processing based on search conditions, and support for multiple currencies.
FCEUX is a Nintendo Entertainment System (NES), Famicom, and Famicom Disk System (FDS) emulator. It supports both PAL (European) and NTSC (USA/JPN) modes. It supports both Windows and SDL versions for cross compatibility. The FCEUX concept is that of an "all in one" emulator that offers accurate emulation and the best options for both casual play and a variety of more advanced emulator functions. For advanced users, FCEUX offers tools for debugging, ROM-hacking, map making, tool-assisted movies, and Lua scripting. FCEUX is an evolution of the FCE Ultra emulator. FCEUX merges elements from FCEU Ultra, FCEU rerecording, FCEUXD, FCEUXDSP, FCEUXDSP CE, and FCEU-mm into a single branch of FCEU.
EO is a template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms quickly. Evolutionary algorithms form a family of algorithms inspired by the theory of evolution, and solve various problems. They evolve a set of solutions to a given problem in order to produce the best results. These are stochastic algorithms because they iteratively use random processes. The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics". They are also ranked among computational intelligence methods, a domain close to artificial intelligence. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.