19 projects tagged "Artificial Intelligence"
Lush is a Lisp dialect with extensions for object-oriented and array-oriented programming. It is intended as a programming environment for prototyping numerically intensive applications. Unlike alternatives like Python or SciLab, Lush is designed for easy integration of existing C/C++/Fortran codes.
The Orbital library is a Java class library providing object-oriented representations and algorithms for logic, mathematics, and computer science. It comprises theorem proving, computer algebra, search and planning, as well as machine learning algorithms. Generally speaking, the conceptual idea behind the Orbital library is to provide extensional services and components that surround the heart of many scientific applications, hence the name "Orbital library". In order to satisfy the requirements of high reusability, the design of this foundation class library favors flexibility, conceptual simplicity, and generalization. Many sophisticated problems can be solved easily with its adaptable components.
SenseClusters is a natural language processing package that allows you to cluster similar contexts or to identify clusters of related words. It supports its own native methods based on first and second order representations of context, and also supports Latent Semantic Analysis. It is fully unsupervised, and can automatically discover the optimal number of clusters in your text. SenseClusters is a complete system that takes users from preprocessing of raw text to providing clustered output.
Ellogon is a multi-lingual, cross-platform, general-purpose language engineering environment, developed in order to aid both researchers who are doing research in computational linguistics, as well as companies who produce and deliver language engineering systems. As a language engineering platform, it offers an extensive set of facilities, including tools for processing and visualising textual/HTML/XML data and associated linguistic information, support for lexical resources (like creating and embedding lexicons), tools for creating annotated corpora, accessing databases, comparing annotated data, or transforming linguistic information into vectors for use with various machine learning algorithms.
Red-Piranha is a search system that can actually learn what you are looking for. It can be used as a Web page, command line, or XML-WebService, so it will work with most languages, including Java, Perl, C#/.NET, and PHP. It includes learning abilities for the Desktop/Internet search functionality. All feedback from the user is stored in (editable) XML and RDF, and is used by the system to improve the quality of searches.
YAKS - Yet Another Khepera Simulator, is a Khepera simulator that uses prerecorded sensor values from a real robot in order to provide simulation speeds of 3600 times reality. It has support for the infrared sensors, light sensors, K213 vision turret, gripper arm, and more. The simulator comes with a GTK interface, a genetic algorithm (GA), and an artificial neural net (ANN).