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EventListener is a simple and efficient C++ framework for propagating Events in graphical interfaces or numerical codes, using Listener pattern. Filtering and blocking of events is possible. This package does not use any other lib.
Wednus Darwin is the set of implementations of the Darwinian revolution workspace components; time, place, and creaures. The Oracle implements an abstract time manager which distributes tick signal to its member objects.
Pysolar is a Python library for calculating the position of the sun relative to the earth as a function of latitude, longitude, and time. There is also code included for other problems related to the development of photovoltaic systems. Still in alpha.
Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
NodeWeaver is a tool for generating SystemML Neuronal Networks from Neuronal Network descriptions (these technologies are nascent, so no links yet...). Intended use is to generate SystemML NNs for later execution using a SystemML simulator (e.g. BRAHMS).
SpectrumGUI can generate filtered spectra for various x-ray tubes and
can display attenuation coefficients for various materials. It also
computes exposure and beam quality for various tube settings.
A platform for the integration of deterministic and stochastic models, for the simulation of the integrated models and for interactive exploration of the model behaviour.
Traffic Light Controlling Comparator (TLCComp) is a simulator of traffic. It is developed from Green Light District (https://sourceforge.net/projects/stoplicht/). TLCComp provides three new light controllers: Fixed-time, Fuzzy1, FuzzyN
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BrennerMD is a public domain Fortran molecular dynamics program by Donald Brenner and other people. This project is to maintain the original source code and to build a Python interface on top of it.
Visual Turing Machine is a tool for visually designing Turing machines. This means no coding in abstract scripting languages, but simple point&click design. It uses the a..z symbol set, plus the "empty" # symbol, and also simulates an infinite tape.
ISIADIS: development environment for hierarchical software systems. ISIADIS allows prototyping, development and running software systems that are based on hierarchical (tree-like) architecture.
QCF is a toolbox of Quantum Computing Functions for Matlab and Octave. It is based on the syntax of Nielsen & Chuang's book 'Quantum Computing and Quantum Information'. It includes simulations of the Grover and Deutsch algorithms and a pdf tutorial.
The NS-Mapper ad-hoc scenario editor is improved and extended by adding more realistic strategies, such as random based node placement, movement and traffic to the ad-hoc simulation of the Network Simulator 2 (NS-2).
openSDK is a free and open-source implementation of Sony's OPEN-R Development Kit. OPEN-R is a trademark or a registered trademark of Sony Corporation.
Visually build and simulate boolean logic circuits
Visually build boolean logic circuits and then simulate their operation. Create custom components from user-designed circuits. Written in Java for cross-platform functionality.
NOTE: This project has moved to Bitbucket at http://bitbucket.org/kwellwood/circuitsandbox
This project constitutes an implementation of a custom-design distributed computing environment. The implementation is based on a form of Nbody simulation, which ran successfully across 33 networked-hosts.
MobileStarChart is a MIDP1.0/2.0 midlet for Java-enabled mobile/cell phones or handheld device. It simulates whole sky at any point on earth with constellations, stars up to 6 mag, solar systems and some other celestial objects.
The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.
The Simple Interface for Global Optimization Algorithms allows the specification of arbitrary search/optimization problems, solving of these problems, and the specification and implementation of optimization algorithms like evolutionary algorithms.