a Small (Matlab/Octave) Toolbox for Kriging
The STK is a (not so) Small Toolbox for Kriging. Its primary focus in on the interpolation / regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.).
High-performance package for SemiDefinite Programs The software SDPA (SemiDefinite Programming Algorithm) is one of the most efficient and stable software packages for solving SDPs based on the primal-dual interior-point method.
SegyMAT is a set of Matlab/Octave m-files to read and write SEG Y data following SEG Y Revision 0 and 1
A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).
Matlab/Octave implementation of the Rigorous Coupled Wave Analysis
A speech recognition system using Matlab/Simulink/Stateflow.
This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.
Advanced mission simulation and analysis tool
The Orbit Determination Toolbox (ODTBX) is developed by the Navigation & Mission Design branch at NASA Goddard Space Flight Center as an advanced mission simulation and analysis tool used for concept exploration, proposal, early design phase, and/or rapid design center environments. ODTBX functions and utilities are combined in a flexible architecture that allows for modular development of navigation algorithms and simulations. The core ODTBX functionality is realized through a set of estimation commands that incorporate Monte Carlo data simulation, linear covariance analysis, and measurement processing at a generic level.
C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
A MATLAB toolbox for simulating the movement of the iRobot Create. Contains multiple GUIs for creating maps and other input, showing the movement of the Create, and replaying a previously saved session.
Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
The GetData library provides an API to interface with Dirfile databases. The Dirfile database format is designed to provide a fast, simple, scalable format for storing and reading binary, synchronously-sampled, time-ordered data.
Fast Finite Element Method implementation in native MATLAB.
A MATLAB program for 2D particle tracking or 3D DHM based tracking.
We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing long video sequences acquired by either light microscopy or digital holography microscopy (DHM). Our program finds the 2D particle center position using an isosceles triangle transform and the axial position by a fast implementation of Rayleigh-Sommerfeld numerical reconstruction algorithm using a one dimensional radial intensity profile. *Updates v1.1: 2017/11/21- Bug fix & Blob detection functions. Please visit our homepage for more information: http://www.physics.umu.se/english/research/biological-physics/the-biophysics-and-biophotonics-group/ *Please cite our work using the following information: Zhang, H., T. Stangner, K. Wiklund, A. Rodriguez, and M. Andersson. 2017. UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light microscopy or 3D digital holography data. Comput. Phys. Commun. 219: 390–399.
GPLAB is a Genetic Programming Toolbox for MATLAB
The Auditory Modeling Toolbox is a community effort to build a simple and well tested toolbox for doing auditory modelling in Matlab, Octave, Python and C. Over 30 models and data sets from the area of hearing science are provided.
The Janelia Automated Animal Behavior Annotator
The Janelia Automatic Animal Behavior Annotator (JAABA) is a machine learning-based system that enables researchers to automatically compute interpretable, quantitative statistics describing video of behaving animals. Through our system, users encode their intuition about the structure of behavior by labeling the behavior of the animal, e.g. walking, grooming, or following, in a small set of video frames. JAABA uses machine learning techniques to convert these manual labels into behavior detectors that can then be used to automatically classify the behaviors of animals in large data sets with high throughput. JAABA combines an intuitive graphical user interface, a fast and powerful machine learning algorithm, and visualizations of the classifier into an interactive, usable system for creating automatic behavior detectors. Documentation is available at: http://jaaba.sourceforge.net/
Locally Weighted Projection Regression (LWPR)
Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. Please cite:  Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005).  Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression, Journal of Machine Learning Research (JMLR), vol. 9, pp. 623--626 (2008). More details and usage guidelines on the code website.
Random Tree Generator for MatLab
RandTree is a MatLab based tree simulator program where the algorithm is based on Honda's model. We have used probabilistic generation of branches in order to simulate visually realistic tree structures. This program is designed to generate branching structures with bifurcation branching pattern (sympodial branching). By changing the probabilities and branching angles, you can generate different shapes of trees.
sigTOOL provides a user-extendable signal analysis environment for processing electrophysiological data within MATLAB. Neuron spike-train, + spectral and time-domain analyses are built in. See http://dx.doi.org/10.1016/j.jneumeth.2008.11.004
The collection of MATLAB compatible routines for Mechanical Trading Systems. Released ta-lib - MATLAB MEX API to www.ta-lib.org . Related projects: http://sourceforge.net/projects/wlmllink and http://sourceforge.net/projects/algotrade.
An easy to install and use toolbox for octave for the calculation purpose of power system along with features like Economic load dispatch, load flow analysis, transmission line parameter and swing equation etc
Quaternion and octonion toolbox for Matlab
Quaternion toolbox for Matlab is a toolbox that extends Matlab to handle matrices of quaternions with real and complex components. Many Matlab operators and functions are overloaded to work for real quaternion and complexified quaternion matrices. Version 2 of the toolbox adds support for octonions.
Matlab/Octave implementation of the 2D Rigorous Coupled Wave Analysis
Toolboxes for SPM (http://www.fil.ion.ucl.ac.uk/spm/) developed at Freiburg Brain Imaging (http://fbi.uniklinik-freiburg.de/)
NBT is an open source Matlab toolbox for the computation and integration of neurophysiological biomarkers. NBT allows for easy implementation of new biomarkers, and incorporates an online wiki with extensive help and tutorials.