Matlab package for stretched exponential fit of discrete values, such as the number of requests to each video file in a video system, the number of posts by each user in a social network (e.g., a blog site), etc.
Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).
A suite of programs for performing particle image velocimetry, a common technique in the field of fluid mechanics. The suite includes programs to perform cross-correlation, synthetic image generation, as well as graphical visualization.
Liberate your MATLAB code with LiberMate. Translate your software to free (libre) Python and the SciPy package. Are you a graduating student loosing access to MATLAB or an institution needing to share/collaborate scientific software with others.
The Matlab SRTM Library is designed to be an easy-to-use interface for importing and manipulating NASA's Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) dataset.
A library providing easy, flexible, and efficient read/write access to video files using a wide variety of codecs in MATLAB on Windows and GNU/Linux platforms, using DirectShow and ffmpeg backends, respectively. Also provided are 'load' and 'imread' for bulk reading.
Excited Energy Levels and Various Shapes (EELViS) was developed for calculation of the Extended Tao-Eldrup model results. The relation between potential well dimensions and positronium (Ps) lifetime can be calculated using this code.
This is a tool(MATLAB code) to find out the least-weighing path in a maze containing coloured squares where every colour has its own specified weight/cost. By default, it is programmed to calculate the path in a 8x8 square maze.
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Software for clustering networks as described in "Information-theoretic approach to network modularity" (Phys. Rev. E 71, 046117 (2005); http://link.aps.org/abstract/PRE/v71/e046117).
This program has been written having in mind to create an useful tool to evaluate the Motor Evoked Potentials (MEPs) generated by Transcranial Magnetic Stimulation (TMS) and recorded with the program "Signal" (version 2.xx).
MATLAB Engine for Java is a library that uses the C API of the MATLAB Engine to: put variables from Java to Matlab, evaluate Matlab commands, get results from Matlab to Java.
MILT is designed to facilitate research in imitation learning through first-person computer games. Featuring strategic, tactical and reactive modules, it allows developers to work with their preferred games or take advantage of integrated Quake2 support.
SPKtool is a toolbox developed on MATLAB which enables a user to perform spike (action potential of neurons) detection, spike sorting (manually or automatically) and spike train analysis.
A highly scalable network emulation tool which emulates dynamic, mobile ad-hoc wireless network topologies in real-time, featuring easy deployment and detailed network models. It was developed in the research project HIDENETS (http://www.hidenets.aau.dk)
Open Source code for machine learning applied to anthropological/art objects. initially a collaboration between C. Wiggins+I. Tamaru (Columbia) and A. Gansell (Harvard) to identify true regions for lost/misplaced objects recovered in mesopotamia (Iraq).
software for identifying modules in networks (e.g. "community detection"), as described in "a bayesian approach to network modularity" (physical review letters 100, 258701 (2008); http://link.aps.org/abstract/PRL/v100/e258701).
Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
The dwi-toolbox provides a set of free and open-source Matlab routines for the simulation and analysis of Diffusion-Weighted Magnetic Resonance Imaging data. It includes data-fitting, simulation, visualization and statistical components.
The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.
The simpleSVM project contains Machine Learning codes for algorithms based on the SimpleSVM. It provides methods for Support Vector Machines and related methods, such as One-Clas SVM, nu-SVM...