Orcus smartHome is a voice/sensor/web-interactive home automation, streaming media, security monitoring system with voice recognition, speech synthesis, scheduling via Google calendar, and web interface.
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We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
Sakura is a Knowledge Navigator and User Interface for UNIX, which implements HyperMedia and its own windowing and packing system, both in the main program and in an extensive API for Tcl and other languages.
This library provides a network abstraction layer for heterogenous large scale modular systems. It supports clearly specified interface definitions for communication between modules, while maximizing module indendence and adaptability.
Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.
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is a natural language understanding program written in Python. It includes an English language parser, an English dictionary tagged with parts of speech and including phrasal verbs and common first names, a spelling corrector, and an indexed file module
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
MegaHAL is a 'conversation simulator' that learns as you talk to it. MegaHAL differs from conversation simulators such as Eliza in that it uses
a Markov Model to learn how to hold a conversation. It is possible to
teach MegaHAL to talk about new topic
The purpose of this program is to prove that given a finite number of Monkeys and a finite amount of time one monkey will be able to make more money off the stock market than any human being. Checkout our web site for an uncorrupted download.
VFML -- Very Fast Machine Learning toolkit. A collection of tools, learners, and APIs for working with high-speed data streams and very large data sets.
Decision Analysis is an easily-extensible expert system to help users make decisions of all types.
Written entirely in Python, Decision Analysis, at this time, contains a general decsion module, which uses a weighted average technique to evaluate use
Charlemagne is a versatile genetic programming application which includes a command-line client and an interactive console mode. It features built in input-output mapping support, and is user-extensible for complex fitness evaluation in Python and Lisp
A robot wars variant.
A computer game in which robots are governed by a simple assembly language. Various arenas running on different hosts can be connected over the internet, so that robots blundering into transporters can be sent from machine to machi
The RoboCup competition is an international event in which teams of
autonomous robots play soccer against one another. This project
provides resources for the RoboCup F180, or small-sized league.
It also provides a mechanism through which teams can c
Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...