Search Results for "using" - Page 6
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Showing 342 open source projects for "using"
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PyGAO
Genetic Algorithm Optimization for Python
A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. In addition to the standard Python libraries, PyGAO uses numpy. -
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GENIE (GEne-geNe IntEraction)
GPU based Parallel Gene-Gene Interaction Analysis
...Here we present a novel software package GENIE, which utilizes the power of multiple GPU or CPU processor cores to parallelize the interaction analysis. Citation: Chikkagoudar, S., Wang, K., & Li, M. (2011). GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores. BMC research notes, 4(1), 158. -
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babyrabbitfractal
Fractal curve with Fibonnaci golden string
The baby rabbit curve is made by taking the golden string (rabbit breeding distribution), turning left for a mature rabbit at an even position, right for a mature rabbit at an odd position, and straight ahead for a baby rabbit. It's built using the Baby X toolkit. -
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Easy Equations
Hand Written Equation Creator
Easy Equations is a utility using which one can write the mathematical equations. The focus of this utility is to provide user friendly access to write mathematical equations which is helpful for students, lecturers, mathematicians and Research persons who prefer using mathematical equations in a document, PowerPoint or web sites. Works on Windows as well as Linux platforms. -
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Runge
Runge is an Interactive Solver for Systems of Differential Equations
...It uses Runge Rule to adjust step length to satisfy required precision on each step. It's effective. When it needs to compute derivatives (Jacobian matrix, for example) it does that analytically, i.e. without using numerical methods. It's portable. It works on Windows and Linux 32 and 64 bit and Mac OS X 64 bit. It's open. It allows you to implement and embed your own algorithms (aka "solvers"). It's easy to use. It allows to export results to MS Excel and MATLAB. It's multilingual. It currently supports Englis and Russian languages. ... -
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StochDecomp
User Manual describing theory behind the package, installation instruc
...Here we present a flexible and generally applicable noise decomposition tool, that allows us to calculate contributions of individual reactions to the total variability of a system’s output. With the package it is therefore possible to quantify how the noise enters and propagates in biochemical systems. We also demonstrate and exemplify using the JAK-STAT signalling pathway that it is possible to infer noise contributions resulting from individual reactions directly from experimental data. This is the first computational tool that allows to decompose noise into contributions resulting from individual reactions. -
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The Generic Graphics Toolkit is a library of generic programming primitives that allow applications to be written that adapt to whatever underlying graphics system the developer is using.
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This project develops a simple, fast and easy to use Python graph library using NumPy, Scipy and PySparse.
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TifaMMy isn't the fastest Matrix Multiplication yet! A library for cache oblivious matrix operations using the space filling Peano curve. Aim is for BLAS / LAPACK functionality (but with an intuitive C++ API).
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FusionAuth: Authentication and User Management SoftwareFusionAuth adds login, registration, SSO, MFA, and a bazillion other features to your app in days - not months.
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DeDAY
MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.
...Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise. DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters. DeDAY is free for academic users. -
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This is the former home of pyecm, which has now been moved to github: https://github.com/martingkelly/pyecm Pyecm factors large integers (up to 50 digits) using the Elliptic Curve Method (ECM), a fast factoring algorithm.
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Dantzig-Wolfe Solver
An implementation of Dantzig-Wolfe decomposition built upon GLPK
An implementation of Dantzig-Wolfe decomposition built upon the GNU Linear Programming Kit. This is a command line tool for solving properly decomposed linear programs. There are several examples and some documentation to guide the use of this solver. Forked over to GitHub (see link). -
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Matlab VideoUtils
Matlab Toolbox for reading and writing videos.
Matlab Toolbox to process video files, which consists on a set of classes for reading, writing, correcting light changes and generating gaussian pyramids in real time. This toolbox is designed for Windows x64, Max OS X x64 and Linux x64. Through to use of Ffmpeg, it can reproduce and create videos very fast and also do no require to load the entire video file in memory. In addition the C++ code is already compiled in order to simplify the toolbox installation. In order to stay... -
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FoxCalc
A pseudo-graphical calculator for FreeDOS (or any other DOS)
...It supports a mouse, and uses the GMP library, therefore its results are highly accurate. FoxCalc is distributed as a zip FreeDOS package. That way, it can be easily installed using the FreeDOS package manager. -
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QTASEP
Visualization application for various TASEP, ASEP and SSEP models.
Visualization of TASEP, ASEP, SSEP models with various update rules based on Zarja simulation library using QT GUI library. -
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latexdiff is a Perl script, which compares two latex files and marks up significant differences between them (i.e. a diff for latex files). Various options are available for visual markup using standard latex packages such as "color.sty".
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NKA
Nonlinear Krylov acceleration of fixed-point and Newton-like methods
...The black-box accelerator is simple to integrate into existing code. Placed in the iteration loop, it observes the sequence of solution updates and replaces them with improved updates using information it has gleaned from previous solution iterates. It was only recently recognized (2011) that NLK is essentially equivalent to Anderson Acceleration for a specific choice of mixing parameter. NLK was independently devised in the late 1980's using a very different approach, and though it leads to the same algebraic method, NLK's organization is somewhat different, and arguably superior. ... -
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libfgen
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported. -
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Bayesian Network tools in Java (BNJ) is an open-source suite of software tools for research and development using graphical models of probability. It is published by the Kansas State University Laboratory for Knowledge Discovery in Databases (KDD).
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Weibull-based reliability toolkit for R
R package for Weibull analysis on (life-)time observations.
This is a small R package for doing Weibull-based reliability analysis. This R package is now obsolete and has been superseded by 'project Abernethy' on http://r-forge.r-project.org/projects/abernethy/. -
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MathParser Java - Math Parser library
Mathematical Parser for Java
This project gives a mathematical parser for converting a simple string expression into a result which can be managed for using in other calculations, all in Java. Using a couple lines of code, you'll be able to parse complex arithmetic expressions efficiently. This library is powered by Dijkstra's Shuting-yard algorithm. The library has no dependencies with other external libraries. Dependency <dependency> <groupId>com.google.code.mathparser-java</groupId> <artifactId>mathparser-java</artifactId> <version>1.0.0</version> </dependency> Expressions supported (Mar/09/2013) - Arithmetic operations. ... -
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Math Simulator
A simulation software for numerical techniques.
Math Simulator is a java-based application which simulates various mathematical techniques.It is extremely useful for the Engineering students and for professionals. Most importantly, unlike most others Math Simulator is an Application rather than a java - library. So, user is not required to have any computer background. A Unique feature of Math Simulator is that it allows you to save queries for later reference. Hence you can save the problems along with their results. -
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android-python2.7.3
Python2.7.3 for android
This is python2.7.3 which can be compiled using android-ndk By using python ,Its is possible to run lot of great application in android phone. At the time of writing I could run IPython, Isympy, Django etc on my android phone. This project only considering command-line binary builds. Not any GUI apps. -
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The Java Astrodynamics Toolkit is a library of components to help users create their own application programs to solve problems in astrodynamics, mission design, spacecraft navigation, guidance and control using Java or Matlab.
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smooth
Wavelet smoothing in a data stream
It is often necessary to smooth high frequency fluctuations out of data streams sequenced by time, position, etc. The 'smooth' utility applies such smoothing using the wavelet algorithm. This implementation of wavelet smoothing was optimized for use in a data stream. It was adapted from HMMSeg Wavelet.Java by Thomas E. Wilson, University of Michigan. HMMSeg Wavelet.Java was written by Andrew Hemmaplardh, University of Washington. http://noble.gs.washington.edu/proj/hmmseg/ Unsupervised segmentation of continuous genomic data, Bioinformatics 2007 23:1424-1426 See the above references for a more thorough description of the principles behind wavelet smoothing.
