Search Results for "linux for mac" - Page 8
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Showing 207 open source projects for "linux for mac"
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PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.
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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.
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Slowmo is an application developed to calculate and plot the travel times of the wave front of a tsunami.
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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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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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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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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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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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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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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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aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
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SimForge is a web-based Agent Based Model of an Open Source Ecosystem implemented in Python with Django. Developers act on randomly drawn preferences to create, collaborate, and use software.
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A script to generate random text using Markov chains. Output text will be stylistically similar to the training text.
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Distributions Networks Analyzer (DNA) is a tool for simulating (power flow) and analyzing electrical distribution networks. Users can easily implement and test their own power flow, optimal power flow and control algorithms.
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