dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
Mimas Toolkit is a C++ computer vision toolkit. It is easy to use and includes tools for edge detection, corner detection, various filters, optic flow, tracking, blob analysis, Web cam tools for real-time applications, and much more. It also includes many implementations of traditional algorithms such as Canny. It was developed for GNU/Linux but as the GUI is largely separate, porting to other platforms should be straightforward.
METSlib is an object-oriented metaheuristics framework in C++ designed to make implementing or adapting models easy. The model is modular: all the implemented search algorithms can be applied to the same model. METSlib implements the basics of some metaheuristics algorithms, such as Random Restart Local Search, Variable Neighborhood Search, Iterated Local Search, Simulated Annealing, and Tabu Search. For each algorithm, you must implement an objective function, a neighborhood (move manager), and some moves. Tabu Search is one of the fastest ways to generate near-optimal solutions to a wide range of hard combinatorial optimization problems.
Genetic Algorithm File Fitter, GAFFitter for short, is a tool based on a genetic algorithm (GA) that tries to fit a collection of items into as few as possible volumes of a specific size. For example, the items might be files/directories and the volumes might be CDs or DVDs. The task of arranging items in such manner that the number of required bins is minimized is called Bin Packing, a NP-hard combinatorial problem for which no deterministic polynomial-time algorithm is known. Using heuristics, such as GAs, it is usually possible to approximate -- and often reach -- the best solution for the problem within a reasonable time.
The purpose of Mind AI is to build an artificial mind based on some advanced concepts: machine learning, representation and meta representation of concepts, concept reflection, reification (concept to meta concept), and denotation (meta concept to concept), and to explore some new concepts. Interaction with the AI is done via IRC.
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.
Player provides a language-independent networked interface to robots and their sensors. Supported devices include Pioneer 2DX robots with sonar, odometry & compass, SICK laser rangefinder, ACTS color vision system, GPS, gripper and wireless communications. Stage provides a population of simulated Player devices. Controllers designed using Stage have been shown to work unchanged on real robots and vice versa. Stage aims for low-fidelity simulation of many devices, rather than perfect models.
The OMCSNet-WordNet project aims to improve the quality of the OMCSNet dataset by using automated processes to map WordNet synonym sets to OMCSNet concepts and import additional semantic linkage data from WordNet. It is based on OMCSNet 1.2, a semantic network and inference toolkit written in Python/Java. OMCSNet currently contains over 280,000 separate pieces of common sense information extracted from the raw OMCS dataset. This project is also based on WordNet, an online lexical reference system that in recent years has become a popular tool for AI researchers.