libphidgets is a user-space access library for the Phidget devices. It provides a generic and flexible way to access and interact with the Phidgets, and comes with all the advantages of a user-space library. It is based on libhid (which is based on libusb), thus it requires no HID support in the kernel. Furthermore, it aims to support all operating system supported by libusb/libhid: Linux, BSD, OS X, and Windows.
OMCSNetCPP is a C++ API and inference toolkit for accessing OMCSNet, a semantic network mined out of the Open Mind Common Sense knowledge base. The goal of this project is to provide a class library that allows programmers to easily add common sense reasoning capabilities to C++ applications.
Allegro Common Lisp is a full ANSI Common Lisp (1994) implementation. It contains many extensions, including 32- and 64-bit native compilation, efficient built-in memory management, foreign functions (for interfacing with other languages), multiprocessing, UNICODE and locale support, XML/HTML parsers, a Web client and server, GTK+ interface (1.2 and 2.0), Java interface, OLE interface (Windows only), profiler, regular expressions, an XML RPC implementation, native Lisp RPC, sockets, DLL and shared library support, and more.
The RoboCup Soccer Simulator is a platform for evaluating multiple autonomous intelligent agents in a realworld-like domain. The simulator allows two teams of 11 players and one coach to interact in a simulated game of soccer. The team members connect to the simulator using UDP sockets and must perform complex behaviors using only a few basic commands, primarily dash, kick, turn, and catch, based on noisy and infrequent sensor information provided by the simulator. This simulator is used in the simulation league of the RoboCup competition.
Torch is a machine learning library written in C++ that works on most Unix/Linux platforms. It can be used to train MLPs, RBFs, HMMs, Gaussian Mixtures, Kmeans, Mixtures of experts, Parzen Windows, KNN, and can be easily extended so that you can add your own machine learning algorithms.