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Red Hat Enterprise Linux on Microsoft Azure
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... to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem.
User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links
The source code is available from GitHub. See https://github.com/gridlab-d/gridlab-d.
Issue tracking is handled by GitHub. See https://github.com/gridlab-d/gridlab-d/issues.
Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
The new site is at http://psychometricon.net/libirt/
The new site is at http://psychometricon.net/libirt/
Library of functions to estimate the items and abilities from the responses of subjects to a questionnaire. The IRT models supported are the logistic model, the multivariate logistic model, the graded model and smoothing by penalization and kernel.
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GMM-GMR is a light package of functions in C/C++ to compute Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR). It allows to encode any dataset in a GMM, and GMR can then be used to retrieve partial data by specifying the desired inputs.
The Model Interaction Environment for Neuroscience provides tools for development, searching, editing, execution, and visualization of biophysical models, abstract mathematical models, and experimental protocols used in neuroscience research.
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
EMPEPA is software that permits to find the most likely rates of a PEPA model according to a set of sample executions by using the EM algorithm. It uses the GNU Scientific Library (GSL).
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