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An experimental unsupervised learning method for improvising jazz melodies, based on restricted Boltzmann machines (RBMs) layered into Deep Belief Networks (forms of neural networks).
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Extensible framework that enables productive design, analysis, and execution of arbitrary-sized neural-networks or system on a distributed, scalable, high-throughput runtime platform. Enables synapse-oriented-programming.
This project now lives on Github: https://github.com/musiKk/Classreader.
A library that parses CLASS files that conform to the Java Virtual Machine Specification.
identifier service is to detect metadata duplication when more than one metadata instances refer to the them learning resource and generate an unique interger/identifer for one metadata instance.
Simple implementation of finite state machine concepts.
The project contain ease-to-use library and modeling graphical tool.
Project define simple identical API for Finite State Machines for both language bindings (C# and Java).
Java Maths library, providing several mathematical functionalities. It is intended to be a project for learningJava, Maths and project related working. This project was started in Course TAI08B1 at www.ba-karlsruhe.de
Blunder is an automated tool for analyzing chained exceptions in Java. It's usefull for classify, generate a customized error message and a list for possible solutions.
A project aims to develop a system which trains LDA model in distributed enviorenment. I studied Hadoop based solution and found that Hadoop is not fit for distributed LDA training case. In this project I implement a platform based on socket.
Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!
This is a mobile application for learning scales and arpeggios on the guitar. The main selling point is that the application has the intelligence built-in to organize scales and arpeggios into box patterns (and other patterns, too, later on).
XMPP Web Services for Java (XWS4J) is an implementation of machine to machine communication over XMPP. The communicated content is encoded in XML, according to customized definitions of input and output in W3C XML Schemata.
This project has been moved to the Tungsten project, which contains a number of Tungsten technologies together. Please visit at http://sourceforge.net/projects/tungsten. This project will not be further maintained.