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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...
Matlab Classification Toolbox contains implementations of the following classifiers: Naive Bayes, Gaussian, Gaussian Mixture Model, Decision Tree and Neural Networks. This toolbox allows users to compare classifiers across various data sets.
A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data.
A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!).
Matsig is an object-oriented signal class library (Toolbox in MATLAB lingo) for MATLAB 6.5 and later. It implements a signal class, simplifying operations and manipulations common in audio signal processing and speech processing.
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CCA-fMRI is a SPM-toolbox (http://www.fil.ion.ucl.ac.uk/spm/) for detecting brain activity pattern using functional magnetic resonance imaging (fMRI) in combination with canonical correlation analysis.
AutoSmooth is a compiled stand-alone graphical interface for signal and derivative extraction from time series with nonstationary noise structure. AutoSmooth is now part of the Signal Extraction Toolbox (SET).
QCF is a toolbox of Quantum Computing Functions for Matlab and Octave. It is based on the syntax of Nielsen & Chuang's book 'Quantum Computing and Quantum Information'. It includes simulations of the Grover and Deutsch algorithms and a pdf tutorial.
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BrainBox is a simulation toolbox, similar to MatLab, that simulates physical and mathematical models remotely via WebServices. BrainBox provides a user interface to help create the diagrams and interact with the simulation results with a built-in languag
Fast-DCM (Fast-DynamicCausalModelling) is an open-source addon for the SPM5 toolbox (http://www.fil.ion.ucl.ac.uk/spm/software/spm5/). It accelerates the estimation of Dynamic Causal Models.
mlearn is a gradient based learning toolbox for matlab. While it is fairly simple to build a neural network, it is designed for ease of implementing new kind of gradient based architecture.
An object-oriented MATLABtoolbox for nonlinear filtering. Includes algorithms for SIR and SIS particle filters as well as an algorithm for the Extended Kalman Filter (EKF). Several discrete-time models are available. Comes with an easy-to-use GUI.
sct-cantera is an object oriented MATLABtoolbox that allows the creation and manipulation of chemical states (IdealGasMix or PureSubstance). sct-cantera uses Cantera in the background to do the calculations. ( Cantera is available on sourceforge).
The Dutchroll project provides Open Source applications for Matlab and Simulink, with the emphasis on aerospace engineering. The main application is the Flight Dynamics and Control toolbox; other applications will be derived from that toolbox.
MPT is a toolbox that supplies cross-platform libraries
for real-time perception primitives, including face detection, eye detection,
blink detection, and color tracking.
Obsolete project - archived at
https://github.com/darrenleeweber/bioelectromagnetism
This is a public release of a Matlabtoolbox for working with data from electroencephalography (EEG/ERP) and magnetic resonance imaging (MRI). It contains functions to process and visualize ERP/MRI data and associated electrode positions.
A MEX-based Toolbox for MATLAB(R) for fast interpolation of 1D, 2D & 3D points, clouds and grids. It's a port of EZspline, a Fortran 90 module interface to the PSPLINE library from the National Transport Code Collaboration developed at the Princeton Plasma Physics Laboratory.
Neural network library for C++ applications in Windows and Linux.
Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported.
You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack
OSU SVM is a Support Vector Machine (SVM) toolbox for the MATLAB numerical environment. The toolbox is used to create models for regression and classification using support vector machines.