Search Results for "statistical shape modelling"
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Showing 17 open source projects for "statistical shape modelling"
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TRAK for Visio
Simple Visio stencil to help create TRAK architecture views
A Visio stencil that provides the elements and connectors from the TRAK metamodel for you to create TRAK architecture views with. With thanks to Nic Plum for the latest revision. TRAK is an ISO/IEC 42010:2011-compliant open-source architecture framework for enterprise architecture modelling / architecture description in all domains. TRAK is specified in three parts and is available at: * http://trak.sourceforge.net [overview] * http://trakmetamodels.sourceforge.net... -
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SMILI
Scientific Visualisation Made Easy
The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with... -
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Criterial
The package for statistical data analysis and applied mathematics
Putting truth before show-off. Criterial is an add-in for desktop versions of LibreOffice Calc (and forks) for statistical data analysis. The project is built on the refined expertise and core concepts of the AtteStat and StatAnt projects. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU... -
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GrainSizeTools script
A Python script for estimating the grain size from thin sections
Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the... -
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StochSD
CSS package for contin., discrete and combined modelling & simulation
StochSD (Stochastic System Dynamics) is a unique CSS package for continuous, discrete and combined modelling and simulation. StochSD eliminates the many problems and errors from modelling discrete objects as continuous. This means that the results from CSS and DES modelling now can be fully consistent. (See the paper "The Full Potential of Continuous System Simulation Modelling" by Gustafsson L & Sternad M.) In particular, StochSD includes features for stochastic modelling and post analysis of multiple simulations followed by presentation of the results in statistical form. ... -
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Curv
A language for making art using mathematics
Curv is a programming language for creating art using mathematics. It's a 2D and 3D geometric modelling tool that supports full colour, animation and 3D printing. Curv is a simple, powerful, dynamically typed, pure functional programming language. Curv is easy to use for beginners. It has a standard library of predefined geometric shapes, plus operators for transforming and combining shapes. These can be plugged together like Lego to make 2D and 3D models. -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
...It has built-in utilities for communicating with an underlying relational database. In addition, the platform provides standard tools which are frequently used both in agent-based modelling and dynamic microsimulations, like design of experiments (DOE), run-time monitoring and visualization with plots and graphs (GUI), I/O communication and statistical analysis. JAS-mine source code can be found on GitHub, with the core repository at: https://github.com/jasmineRepo/JAS-mine-core and the GUI repository at: https://github.com/jasmineRepo/JAS-mine-gui -
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Presage
the intelligent predictive text entry platform
Presage (formerly Soothsayer) is an intelligent predictive text entry system. Presage generates predictions by modelling natural language as a combination of redundant information sources. Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms. ... -
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2D Statistical Models. Building: shape model, texture model and concatenated appearance model; Fitting: 1D profile ASM, 2D profile ASM, direct local texture constrained(LTC) ASM, basic AAM, ICIA AAM, IAIA AAM, etc.
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...NetLogo meets R: Linking agent-based models with a toolbox for their analysis. Environmental Modelling and Software, Volume 25, Issue 8: 972 - 974
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Chordalysis
Log-linear analysis (data modelling) for high-dimensional data
===== Project moved to https://github.com/fpetitjean/Chordalysis ===== Log-linear analysis is the statistical method used to capture multi-way relationships between variables. However, due to its exponential nature, previous approaches did not allow scale-up to more than a dozen variables. We present here Chordalysis, a log-linear analysis method for big data. Chordalysis exploits recent discoveries in graph theory by representing complex models as compositions of triangular structures,... -
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OpenFlux2 is an extended version of OpenFLUX (https://sourceforge.net/projects/openflux/) - the modern MATLAB-based modelling software for 13C flux analysis (MFA). The following features were implemented in OpenFLUX2, which were not present in original software: integrated support for calculation and analysis of parallel labeling experiments (PLE), extended statistical analysis of parameter estimation results, calculation of fluxes and measurements correlation, structural identifiability analysis and elements of experimental design.
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BiomeNet
BAYESIAN INFERENCE OF METABOLIC DIVERGENCE AMONG MICROBIAL COMMUNITIES
Metagenomics yields enormous numbers of microbial sequences that can be assigned a metabolic function. Using such data to infer community-level metabolic divergence is hindered by the lack of a suitable statistical framework. Here, we describe a novel hierarchical Bayesian model, called BiomeNet (Bayesian inference of metabolic networks), for inferring differential prevalence of metabolic networks among microbial communities. To infer the structure of community-level metabolic interactions, BiomeNet applies a mixed-membership modelling framework to enzyme abundance information. ... -
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phcfM
R package for modelling anthropogenic deforestation
...The two functions use embedded Gibbs samplers written in C++ with the Scythe statistical library to reduce computational time. -
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FantasticLifeExpectancyCalculator
Calculate your and your spouse's life expectancy !
Using statistical modelling against raw data obtained from a USA Annuity mortality table, the Fantastic Life Expectancy Calculator allows users to input a number of parameters to determine their life expectancy. This calculator is provided free and for entertainment purposes only. It does not claim to accurately predict life expectancy for a specific individual or a specific couple. -
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GISBox by Citiviz
Ready-to-use appliance for GIS, Data Mining and Analysis, Modelling...
GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software... -
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MIM is a Windows program for graphical modelling -that is, the statistical analysis of multivariate data based on graphs. It uses models based on undirected graphs (a.k.a. Markov networks), directed graphs (a.k.a. Bayesian networks) and chain graphs.
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