TinySoar is an implementation of the Soar artificial intelligence architecture that is intended to run on a memory-constrained device, like a robot. Soar is a "real time'' performance runtime that incorporates acting, planning, and learning in a rule-based framework. TinySoar includes alternative firmware for the Lego Mindstorms RCX, so you can control a Lego robot with a Soar agent.
The OpenAI site is centered around an Open Source project and community involving artificial intelligence. The project itself is the creation of a set of tools that are considered to be models of human intelligence or biomimicry. These tools are intended to be integrated into applications or used stand alone for research.
PennAspect is a software implementation of the two-way aspect model, which is a latent class statistical mixture model for performing soft clustering of co-occurrence data observations. It acts on data such as document/word pairs (words occurring in documents) or movie/people pairs (people see certain movies) to produce their joint distribution estimate. The distribution is packaged as Java source and class files.
myBeasties is a highly flexible evolutionary programming module. It is designed to be extendable and customisable for maximum use by the Perl developer. Many species of genotypes can be evolved, and these can be used to build phenotypes of any size or complexity. These can be as simple as a list or as large as a whole class of objects.
Evolvica is an evolutionary computation framework written in Java. The aim of the project is to provide a toolkit that enables developers to create genetic/evolutionary algorithms with minimal programming effort. The toolkit has a modular architecture and is highly extensible. It includes a visual algorithm editor, a source code editor, and a debugger.
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.
Algorithm::Evolutionary is a flexible set of classes for doing evolutionary computation in Perl, integrated with XML for evolutionary algorithm description. So far, it contains classes for doing string, tree, and vector array-based evolutionary computation, several variation operators, and simple population-level algorithms. It has been distributed algorithms using SOAP, and integrated with the DBI and HTML::Mason libraries. It contains an XML dialect for definition of evolutionary algorithms, called EvoSpec; experiments defined using Algorithm::Evolutionary can be completely serialized/deserialized using this language.
PyWordNet is a Python interface to the WordNet database of word meanings and lexical relationships. It presents a concise interface to WordNet, that allows the user to type expressions such as N['dog'], hyponyms(N['dog'] ), and closure(ADJ['red'], SYNONYM) to query the database.