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CRFChunker: Conditional Random Fields Phrase Chunker (Phrase Chunking Tool) for English. The model was trained on sections 01..24 of WSJ corpus and using section 00 as the development test set (F1-score of 95.77). Chunking speed: 700 sentences/s
KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
CRFTagger: Conditional Random Fields Part-of-Speech (POS) Tagger for English. The model was trained on sections 01..24 of WSJ corpus and using section 00 as the development test set (accuracy of 97.00%). Tagging speed: 500 sentences/s.
DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
The Rule Based Service Level Agreement (RBSLA) project focuses on knowledge representation concepts for service level management of IT services. At the core are rule-based languages to describe contracts and service level agreements in a formal way.
mlearn is a gradient based learning toolbox for matlab. While it is fairly simple to build a neural network, it is designed for ease of implementing new kind of gradient based architecture.
mRDP (Multicast Resource Discovery Protocol) API is a Java API that enables RDF resource discovery via SPARQL queries over UDP multicast messages. The mRDP API uses the Jena API for managing the RDF graph and SPARQL queries execution.
JIMO(Java-based Instant Messenger One), supports multiple protocols via services, including AIM, MSN, Yahoo, IRC. It is flexible through its plugin architecture, with an intelligent agent, Chatbot.
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Agent based model of organizations considering the interplay between the formal hierarchical structure and the process network emerging while the organization performs a task-set.
An implementation of the Compositional Pattern Producing Networks (CPPNs) and Neuro-Evolution of Augmenting Topologies (NEAT) proposed by Kenneth O. Stanley, based on the Genetic Art tool from Mattias Fagerlund.
Molle is a cross-platform prover for modal logic, which exploits the modal semantic tableaux method. It features a very usable graphical interface, with interactive representation of generated models. Molle is maintained by Politecnico di Milano.
An open simulation of the casino game "let it ride" written in Java. Runs AI agents that play the came and statistically tracks their success. Also has a command-line interface for playing the game.
This project will provide an interface for using Lightweight Communications Calculus (LCC) to control agents in the Unreal Tournament enviroment. It consists of a prolog-style interperter, LCC parser/IDE,a GUI / LCC editor and interfaces to the Gamebots
Performs summarization, categorization, key phrase generation,full text indexing and search,part of speech tagging,identification of place and human names in various document format. Latest code is available at http://www.twit88.com/
This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
URBI: Universal Robotic Body Interface. URBI is a scripted command language used to control robots (AIBO, pioneer,...). It is a robot-independant API based on a client/server architecture. Liburbi C++/Java/Matlab are available here. Forum available at ht
SenseRank Sys:
- builds the dictionaries (multidim matrices) of words’ values;
- for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense
lejON, the LeJOS Odometric Navigator is a project which extends the LeJOS-API for LEGO Mindstorms bots. It adds a Java-API to LeJOS in order to control two-wheeled drives only by using motors and rotation sensors -- and nothing else.
A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
The MRCPv2 protocol is designed to allow client devices to control media processing resources, such as speech recognition engines. MRCP4J provides a Java API that encapsulates the MRCPv2 protocol and can be used to implement MRCP clients and/or servers.