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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.
XNBC is a graphic application to simulate biologic neural networks.
XNBC is a full featured application for computer naive neuroscientists. It simulates biological neural networks using graphic tools to edit neurons and networks, to run the simulation and to analyze results. Written in C, it runs on Unix and Windows.
Web site : http://ticemed-sa.upmc.fr/xnbc/
All recent versions are on this site.
Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machine learning workbench.