Category Archives: Computer Science

MUSCLE

MUSCLE 2 – The Multiscale Coupling Library and Environment is a portable framework to do multiscale modeling and simulation on distributed computing resources. The generic coupling mechanism of MUSCLE is suitable for many types of multiscale applications, notably for multiscale … Continue reading

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CloudSim

A Java Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services. Find CloudSim at: http://www.cloudbus.org/cloudsim/

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PredictionIO: An Machine Learning Server

PredictionIO is an open-source Machine Learning server. It enables developers and data engineers to build smarter web and mobile applications through a simple set of APIs. Admin UI is provided for developers to select and tune algorithms. Find PredictionIO: An … Continue reading

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MethodBox

Finding the variables you need to support a particular research question can be time consuming. Wading through hundreds of pages of PDF documents, codebooks and metadata and then trying to find the exact column in a huge spreadsheet can be … Continue reading

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Debellor

Debellor is an open source Java framework for scalable data mining and machine learning. You may implement your own algorithms in Debellor’s architecture and combine them with pre-existing ones to create complex data processing networks and experimental setups. The unique … Continue reading

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Adevs

Adevs (A Discrete EVent System simulator) is a C++ library for constructing discrete event simulations based on the Parallel DEVS and Dynamic DEVS (dynDEVS) formalisms. Find Adevs at: http://www.ornl.gov/~1qn/adevs

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Saros

Saros is a research project to enable distributed pair programming (also called remote pair programming) in the Java IDE Eclipse. Saros supports real-time collaboration by two and more peers and adds many features to increase awareness and presence regarding the … Continue reading

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KNIME

KNIME, pronounced [naim], is a modular data exploration platform that enables the user to visually create data flows (often referred to as pipelines), selectively execute some or all analysis steps, and later investigate the results through interactive views on data … Continue reading

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Weka

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, … Continue reading

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GQR

GQR (Generic Qualitative Reasoner) is a solver for binary qualitative constraint networks. GQR takes a calculus description and one or more constraint networks as input, and tries to solve the networks using the path consistency method and backtracking. Both spatial … Continue reading

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