Search Results for "c source code" - Page 3
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Showing 73 open source projects for "c source code"
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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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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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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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"DoomsdayCalculator" is based on the doomsday argument and allows the user to calculate minimum and maximum expected remaining lifetimes at a certain confidence level.
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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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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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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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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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StereoWorks is an easy to use yet powerful tool to create 3D reconstruction surfaces from stereoscopic SEM images. It allows the user to make detailed elevation maps from a pair of SEM images and obtain data such as height, area and roughness.
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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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Pi-VisualR
Qt-based C++ GUI programming interface to R
VisualR is a (currently) Windows only C++ GUI programming interface to R. It allows creating full featured applications that complelely control R and serves as a GUI programming toolkit that can be controlled from inside R code. -
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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.
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
