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LEET (Large Experiment and Evaluation Tool) is a front-end software utility for WEKA that simplifies large-scale experiment and evaluation of algorithms and datasets in the classification context.
Given a reference sequence, simhtsd will create a large set of short nucleotide reads, simulating the output from today's high-throughput DNA sequencers, such as the Illumina Genome Analyzer II.
This compact function parser module written in Fortran95 is intended for applications where a set of Fortran-style mathematical expressions is specified at runtime and is then evaluated for a large number of variable values.
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Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
MOTO (Moving Objects Trace generatOr) is a trace generator for the moving objects application domain. Its main strength is scalability for large networks and many moving objects.
SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder
This project is A Mitochondrial OxydoReduction Simulation System. It consists of two linked projects: a program for displaying and analysing large biomolecular systems (Floral) and a multi-agent simulator for biomolecular oxydoreduction systems (AMORSS).
3D cellular automata modelling software for large general purpose simulations. Uses custom scripts for rules and can distribute processing over several machines.
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PROJECT IS BEING DEVELOPED UNDER A DIFFERENT NAME: Please visit http://sourceforge.net/projects/modelbuilder/ Datamodeler gives scientists and engineers the possiblity to find any multivariate model for any dataset, how complex or large both may be.
Simulator for large neuronal networks using leaky INF as its basic element. Simple few line scripts will enable rapid creation of large networks with different connectivities. Aimed at researchers interested in quickly testing large networks of neurons.
PeerfactSim.KOM is a discrete event-based Peer-to-Peer (P2P) Simulator written in Java. It is developed at the Multimedia Communications Lab (KOM) at Technische Universität Darmstadt and allows for simulating large scale P2P systems.