Search Results for "google-visualization-python" - Page 13
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Showing 360 open source projects for "google-visualization-python"
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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.
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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.
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This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling
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pyPulsar is a program for simulation and fitting of solid-state NMR spectra. It provides scripting facilities using Python. (This project was not developed for a long time: It will be soon moved in a new project currently developed)
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Esra is a 100% pure java library for the interactive analysis of molecular mechanics data. Mangles your data in your favorite scripting language.
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Ant foraging simulation. Ants can be programmed using Python. Actual programme writtenin c++ using SDL
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Esse projeto é uma reimplementação dos processadores hipotéticos descritos no livro "Fundamentos de Arquitetura de Computadores" de Raul Fernando Weber, usados em diversas faculdades no sul do Brasil, incluindo o Instituto de Informática da UFRGS.
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OpenWWTP is wastewater treatment plant simulator based on (modified) Activated Sludge Model (ASM2d) The project is in very beginning stage (help wanted).
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rsim is a simple discrete-event communications network simulator initially developed to test routing protocols for undersea acoustic modem networks. If done well then rsim will eventually be a good replacement for "ns2".
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pyomnet provide an object-oriented way to define the network topology. It's a good way to illustrate network in an abstract way. pyomnet could generate the NED scenario and configuration(latter) for OMNeT++ simulation tool.
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A package for preference handling and aggregation rules. A number of voting rules discussed in social choice literature have been implemented in order to study various properties of these rules in simulations with randomly generated preferences.
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Cellogica is a cellular logic analysis tool. It incorporates sequential logic and finite state machine to elucidate the relationship between transcription factors and corresponding gene expression.
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Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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MANIKK is a toolkit for generating numerical interaction parameters -- describing the interaction between metallic atoms in a coherent lattice -- and for performing numerical Monte Carlo-simulations of physical properties of alloy systems.
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gCoder is a GUI, server-client based dyanmic programing contest controler built in Python. Its a programing contest controller like pc^2 and TopCoder(TM) areana. It use system test module, which can actually test contestent codes without any human interf
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We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
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KU1K is a set of tools for 4D,5D and 6D compact U(1) lattice gauge theory Monte Carlo simulation using the Skipis-Vantzos algorithm. As the calculations involved, even for the 4D case, are consuming, the project is modular so as to run on the Grid.
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A collection of modules and enduser tools designed to help design, test and use system models. While my research (hence, the examples) is focused on hydro-ecological systems, the program can be used on any system characterized by ODEs (and soon PDEs?)
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SimED is a user-friendly Differential Equation simulation software. It can integrate numerically ODEs (Ordinary Differential Equations) using several methods, plot time and phase-space diagrams for variables, and interactively choose initial conditions.
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FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.
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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.
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This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.