SIP provides image processing, pattern recognition, and computer vision routines for SciLab, a Matlab-like matrix-oriented programming environment. SIP is able to read/write images in almost 90 major formats, including JPEG, PNG, BMP, GIF, FITS, and TIFF. It includes routines for filtering, segmentation, edge detection, morphology, curvature, fractal dimension, distance transforms, multiscale skeletons, and more.
tinyMAS is a multiagent platform that provides base concepts (such as kernel, message, yellow pages, white pages, and transport service) and extended concepts (such as environment, influence, and perception). It aims to provide an easy-to-understand and and easy-to-use platform dedicated for multiagent engineer/research courses. TinyMAS is no longer under development. A large amount of its source code has been merged into the Janus platform.
RapidMiner (formerly YALE) is a flexible Java environment for knowledge discovery in databases, machine learning, and data mining. Many nestable learning and preprocessing operators (including Weka) are provided. It features an XML-based graphical user interface, a plugin mechanism, and high-dimensional plotting, and provides an easy-to-use extension mechanism that makes it possible to integrate new operators and adapt the system to your personal requirements. A command line version is also included.
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka is also well-suited for developing new machine learning schemes. The development version contains a GUI with visualization tools and direct database access.
This project is a collection of robots for the robocode framework. Robocode is an alphaworks project from IBM that provides an environment for creating software robots that compete against each other. This collection provides examples for people who wish to write their own robots.
MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition, along with sample applications (identification, NLP, etc.) of its use. MARF can run distributed over the network (CORBA, Java RMI, and Java XML-RPC Web Services) and may act as a library in applications or be used as a source for learning and extension.
Ikaros is a framework for writing and running component-based simulators. It is used for simulations of brain areas and learning models, but is general enough to be easily used for any discrete-time simulations. A simulation consists of modules written in C or C++ that are connected in the simulator, with connections specified in an XML file. It runs on the console, and can optionally generate a dynamic browser-based UI with SVG for graphics generation. There are also socket-based hooks for adding a full GUI. The package contains a number of modules and complete documentation for working with the framework.
OntoWiki is a semantic collaboration platform for the development of Semantic Web knowledge bases. OntoWiki enables large distributed communities to collaborate on a semantic level, by allowing users to contribute small structured knowledge pieces, which stitched together may result in comprehensive knowlegde bases. Powl is Web-based ontology authoring and management solution for the Semantic Web. Both expose an extensive API for PHP programmers.
HALoGEN is an extremely powerful and easy to use general-purpose natural language generation system. It consists of a symbolic generator, a forest ranker, and some sample inputs. The symbolic generator includes the Sensus Ontology dictionary based on WordNet. The forest ranker includes a 250 million word ngram language model (unigram, bigram, and trigram) trained on the Wall Street Journal newspaper text. The symbolic generator is written in LISP and requires a Lisp interpreter.