This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
mex-svm is a set of patches against SVM-Light to compile into "mex" libraries and enable fast Support Vector Machine evaluation from within MATLAB.
Matlab's MAT-file I/O API in JAVA. Supports Matlab 5 MAT-flie format reading and writing. Written in pure JAVA.
A pythonic interface to MATLAB
This package lets Python users interface and communicate with MATLAB from Python. Pymatlab makes it easier for users to integrate a project with a large MATLAB codebase into python scripts by using MATLAB scripts as a part of the python program. The basic functionality of this package is to send data from Python to MATLAB's workspace to be able to run Matlab function on the data. After processing you retrieve back data to python. This enables you to process data with Mathlab's built in functions, toolboxes or Matlab-scripts. It is also possible to use MATLAB's to generate plots or other graphics. The package uses Numpy's ndarrays and translates them into MATLAB's mxarrays using Python's ctypes and Matlab's mx library. The interface to MATLAB's workspace in done through MATLAB's engine library.
Face Recognition Wavelet Neural Networks
Face Recognition [Wavelet and Neural Networks ] V2 : Simple and Effective Source Code for Face Recognition Based on Wavelet and Neural Networks. The code has been tested with AT&T database achieving an excellent recognition rate of 97.90% (40 classes, 5 training images and 5 test images for each class, hence there are 200 training images and 200 test images in total randomly selected and no overlap exists between the training and test images). See More : http://matlab-recognition-code.com/face-recognition-based-on-wavelet-and-neural-networks-matlab-code/
Routines for wavefront propagation in IDL, Matlab, and Python
PROPER is a library of routines for the propagation of wavefronts through an optical system using Fourier-based methods. It was developed at the Jet Propulsion Laboratory for modeling stellar coronagraphs, but it can be applied to other optical systems were diffraction propagation is of concern. It is currently available for IDL (Interactive Data Language), Matlab and Python (2.7 & 3.x). It includes routines for generating complex apertures and obscurations and aberrations (Zernike & PSD-defined). It includes a model of a deformable mirror for wavefront control. The routines perform near and far field propagation with automatic selection of propagators. The latest version for IDL and Python is v3.0 released on 7 Aug 2017. For Matlab it is v3.0.1 released on 22 Aug 2017 (bug fix in prop_readmap).
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 (!). The considered implemented parametric and non-parametric Monte Carlo likelihood methods were chosen for their ability to treat both one-dimensional and multivariate SDE systems, although the quality of the inferential results can't match those obtained using more advanced techniques. Nevertheless the toolbox capabilities to simulate numerical solutions of SDE systems are still valid and can serve as a useful starting point to those willing to simulate stochastic dynamical models easily.
psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.
Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
MPT is a toolbox that supplies cross-platform libraries for real-time perception primitives, including face detection, eye detection, blink detection, and color tracking.
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.
Fast and multi platform reader of network traces, have possible to shared date in screen, file or Matlab
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.
SoundRuler is a tool for acoustic analysis, graphing and teaching. It interactively recognizes and measures 35 temporal and spectral properties of each sound in a file. It also features several measurement, graphing and didactic modules.
GTK+iostream, Data plots, ORB, Neural Networks, WSOLA
Create GTK+ interfaces using IOStream style code. Its simple and quick! Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating. This is great for embedded memory saving code. You can also plot like so : Plot figure; figure.plot(x, y, x.size()); Plotting utilises GtkDataBox.sf.net ORB utilises www.zeroc.com Feed forward neural networks with different activation functions. Audio playback/recording and digital signal processing (DSP) - utilising Jack www.jackaudio.org
A Matlab toolbox for calibrating the Kinect Sensor. It provides functions to jointly calibrate the depth sensor with a color camera as well as to generate a depth map for the color image and reproject the points in metric coordinates.
Toolbox for processing spinal cord MRI data
The Spinal Cord Toolbox is a comprehensive and open-source library of analysis tools for multi-parametric MRI of the spinal cord. List of contributors can be found here: https://sourceforge.net/p/spinalcordtoolbox/wiki/Home/
A software for processing and analyzing time series in Earth Science
Along with calculating basic statistics and quality parameters such as mean and variance, the soft-ware is capable of importing and visualizing different standard time series formats, determining and removing jumps and outliers, and makes numerical and publication quality graphical outputs. Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram and periodicities) form the main analysis features of the software.
SparesPOP is a MATLAB implementation of a sparse semidefinite programming (SDP) relaxation method proposed for polynomial optimization problems (POPs). Please send a message to firstname.lastname@example.org if you have any question and/or request. We also release SparsePOPC++ and SparsePOPC++-windows. Both implementations are SparsePOP which does not use MATLAB, but only C++. In particular, SparsePOPC++-windows contains a binary file which works on Windows, and does not require to compile.
MatLab App for calculating the tortuosity factor of microstructure
Please contact the author at email@example.com for any questions or if you wish to cite this application in a academic study. Journal paper available here: http://www.sciencedirect.com/science/article/pii/S2352711016300280 TauFactor is a MatLab application for efficiently calculating the tortuosity factor, as well as volume fractions, surface areas and triple phase boundary densities, from image based microstructural data. The tortuosity factor quantifies the apparent decrease in diffusive transport resulting from convolutions of the flow paths through porous media. TauFactor calculates this value using an over relaxed finite-different approach. This tool provides a fast computational platform applicable to the big datasets (>10^8 voxels) typical of modern tomography, without requiring high computational power.
GRAMPC - A gradient based MPC software for real-time applications
GRAMPC is a real-time model predictive control (MPC) tool that is suited for controlling nonlinear systems with input constraints. GRAMPC uses an efficient projected gradient algorithm with an adaptive line search strategy in order to allow an MPC implementation for highly dynamical systems with sampling times in the (sub)millisecond range and/or high-dimensional systems. GRAMPC is implemented in plain C with an additional interface (GUI) to MATLAB/Simulink. A fixed number of gradient iterations is used in each new MPC step and the current solution is used as new initialization (warm-start) to successively refine the predicted MPC trajectories over the single MPC steps.
A MATLAB toolbox for relating neural signals to continuous stimuli
mTRF Toolbox is a MATLAB toolbox that permits the fast computation of the linear stimulus-response mapping of any sensory system in the forward or backward direction. It is suitable for analysing EEG, MEG, ECoG and EMG data. The forward model, or temporal response function (TRF), can be interpreted using conventional analysis techniques such as time-frequency and source analysis. The TRF can also be used to predict future responses of the system given a new stimulus signal. Similarly, the backward model can be used to reconstruct spectrotemporal stimulus information given new response data. mTRF Toolbox facilitates the use of continuous stimuli in electrophysiological studies as opposed to time-locked averaging techniques which require discrete stimuli. This enables examination of how neural systems process more natural and ecologically valid stimuli such as speech, music, motion and contrast. Support documentation: http://dx.doi.org/10.3389/fnhum.2016.00604
This is a MATLAB toolbox to run a GA on any problem you want to model.
This is a toolbox to run a GA on any problem you want to model. You can use one of the sample problems as reference to model your own problem with a few simple functions. You can collaborate by defining new example problems or new functions for GA, such as scaling, selection or adaptation methods. In that case, you should then include your credits in the file, upload it to matlab central and contact the author. Suggestions are also welcome but naturally I won't be able to attend all of them.
URBI: Universal Robotic Body Interface. URBI is a scripted command language used to control robots (AIBO, pioneer,...). It is a robot-independant API based on a client/server architecture. Liburbi C++/Java/Matlab are available here. Forum available at ht
collection of illustrative programs:small games, simulators: C, Matlab
a collection of small and medium-sized simulation programs that I made explicitely for dydactic and/or documentation purposes. Browse the files, don't click on widnload because there are multiple zips!! All are related to rigidbody dynamics used to make vehicle simulators in the simplest way. Other types of programs may figure too: Snake or Tetris in C for showing the C programming style opted for the other, more specific programs. Possibly this is a link for supplying material to some Wiki articles related to videogames and gamep-physics.