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Cougar Squared is a new Javalibrary for machinelearning and data mining research, supporting research needs of the community. It is written by researchers for researchers. It extends the WEKA and YALE machinelearning frameworks.
Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.
This is a java project setup as a learning exercise. This project will be used to track various details of home brew. It will start very simple and evolve over time.
Leark is a Data Mining library developed in C#.NET. It contains several methods for ranking web documents described with a set of normalized features, and a feature selection algorithm. The methods are based on perceptron and clustering.
The aim of ALIVE is to develop new approaches to the engineering of flexible, adaptable distributed service-oriented systems based on the adaptation of social coordination and organisation mechanisms.
RoboBeans is an interface to the "Robocup 2D Soccer Simulation Server" that allows developers to write Robocup teams\agents concentrating on behaviour and AI without having to worry about syntax of communication or network issues.
The TM Simulator is a Java/JavaFX Application which provides a graphical user interface to configure and simulate Turing Machines. This is a student project from the technical university of Vienna, to support presentations of Turing Machines.
The data complexity library, DCoL, is a machinelearning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
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Very lite and easy-to-use LAN file sharing software. Using Turtle you can send/receive files in a LAN network to/from any machine which you know the IP address or DNS name. Turtle imitates Blutooth file sharing pattern in mobile phones.
The program Virtual Network Simulator for Web 2.0 is a tool that allows the simulation of assembly and configuration of computer network projects, virtual or physical. It also simulate the sending of a package between the hots of origin and destinati
The Python Computer Vision Framework is an opened project deisgned for all those interested in computer vision. It aims at making computer vision more easy and structured and matlab-free.
It may also be used for other artistic and scientific areas.
An extremely lean and ridiculously lightweight JEE/web action-based framework. This enterprise featured "framework on a diet" is designed and built on the premise that less is more. No steep learning curves or endless bloat.
KeplerWeka adds the functionality of the open-source machine learning and data mining workbench WEKA to the free and open-source, scientific workflow application, Kepler.
Core library for complex software project development. Features: semaphores, services, finite state machine, framework, utilities related to the middleware architecture and implementation.
PhiWeave is a machinelearninglibrary for structured prediction via factor graphs. It is part of an ongoing effort to implement and improve on the current state-of-the-art in inference and parameter estimation for graphical models.
SAIM allows to interlink knowledge bases in the Semantic Web. It focuses on instance matching of very large knowledge bases available as SPARQL endpoints. SAIM uses machine learning techniques and is compatible with SILK.
PataPata is an experiment moving ideas from Squeak and HyperCard to the Java Virtual Machine (JVM) using JavaScript and other JVM languages. Other inspirations include Augment, Design Science, eToys' constructivism & OLPC/Sugar's connectivism.
BorderFlow implements a general-purpose graph clustering algorithm. It maximizes the inner to outer flow ratio from the border of each cluster to the rest of the graph.
DCOPolis is a framework for comparing and deploying distributed decision processes in heterogeneous environments, including simulation in a virtual machine.
System Decision Machine is a rule-based state machine which aims to bring a new system design : what state to go next, given the current waiting state, the fired event, and the evolution rules. Actions could be implemented in any supported language