Search Results for "tiny-core-plus" - Page 3
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Showing 71 open source projects for "tiny-core-plus"
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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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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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That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
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RVASSOC is a simple program for performing various tests for association between genotypes and disease status using sequence variants from unrelated cases and controls. It was designed to accommodate both rare variants and missing genotypes.
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M-S Lab
Math-Statistics LABoratory
M-S Lab is a free software for statistical computing and graphics. M-S Lab is available in two distributions: The built-in language support is implemented in "Own" version. And for users who like to code in Lua scripting language we made a "Lua" version. Both versions are available for free download in the Downloads page. -
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CvHMM
Discrete Hidden Markov Models based on OpenCV
This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects. -
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HMMLab
A Hidden Markov Model editor with support to HTK
HMMLab is a Hidden Markov Model editor oriented on HMMs for speach recognition. It can create, edit, train and visualize HMMs. HMMLab supports loading/saving HMMs from/to HTK files. -
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ShiVaSmiles
A slick interface to see various scale analysis algorithms in action.
The Shape Visualizer is intented to be an exploratory/educational tool making it quick and easy to see how various mathematical methods perform in analysing and selecting the various patterns present on an image. The main website is built as a wiki gathering info and examples on the various implemented algorithms. The combination of the application and its wiki intend to constitute a nice little pedagogic toolkit for multiscale analysis. Feel free to contribute code or wiki content ! -
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mlpy
Machine Learning Python
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X. -
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Graphx
GraphxV1.1
Graphx - simple plotter for students and pupils of high school. The project source on github.com: https://github.com/Armenian/graphx -
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Plots Binomial and Poisson distributions based on different values of p and n to visually express, how much those distributions are "close"
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This software computes likelihoods for infinitely-many-sites sequence data under multiple merger coalescents. The likelihood can be computed exactly or approximated via importance sampling.
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The Kyoto FST Decoder is a general decoding engine for Weighted Finite State Transducers. It features flexible XML-based configuration, beam-search decoding, and is able to output separate weights for weight tuning.
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T3S Tool
Learning Stochastic Discrete Event Systems
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes. -
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Stand-alone software tool for the interactive CE analysis of microarray data. The software is a user-friendly and allows on-the-fly study of CE
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Opensource software projects for genetics and genomics from Sage Bionetworks.
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Software to cluster protein sequences into functionally similar groups. Journal reference: http://bioinformatics.oxfordjournals.org/cgi/content/short/24/16/1765
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A collection of different methods for implementing in C++ polycrystalline growth for metals during annealing or recrystallization.
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C++ Multivariate Distributions Library
A Multivariate Distributions Package for C++
A library based on Eigen and Boost to handle common multivariate distributions in C++ -
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The CRISP package here developed utilizes an algorithm that describes a many-body intranuclear cascade (INC) and evaporation/fission/multifragmentation competition process.
