Toolboxes for SPM (http://www.fil.ion.ucl.ac.uk/spm/) developed at Freiburg Brain Imaging (http://fbi.uniklinik-freiburg.de/)
GLPKMEX - a Matlab MEX interface for the GLPK library Note: GLPKMEX is not currently compatible with glpk-4.49, or later. please use with glpk 4.40 - 4.48.
Spatially Oriented Format for Acoustics
In this project we work on the (S)patially (O)riented (F)ormat for (A)coustics: SOFA. The file format is intended for reading, saving, and describing spatially oriented data of acoustic systems. Examples of data we consider are head-related transfer functions (HRTFs), binaural room impulse responses (BRIRs), multichannel measurements such as done with microphone arrays, or directionality data of loudspeakers. The format specifications are the major issue, but we also aim in providing APIs for reading and writing the data in SOFA.
PHACCS is a bioinformatic tool designed for a scientific public. It gives estimates of the structure and diversity of uncultured viral communities using metagenomic information.
Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi
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/
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.
Cupid: simultaneous reconstruction of miRNA-target and ceRNA networks
Chiu et. al., Genome Research 2014 Cupid is a method for simultaneous prediction of miRNA-target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. We showed that our integrative approach significantly improves on miRNA-target prediction accuracy as assessed by both mRNA and protein level measurements in breast cancer cell lines. Cupid is implemented in 3 steps: Step 1: re-evaluate candidate miRNA binding sites in 3’ UTRs, as inferred by TargetScan, miRanda and PITA by integrating their scores, location in the 3’ UTR, and cross-species conservation. Step2: interactions are predicted by integrating information about selected sites, their multiplicity, and the statistical dependency between the expression profiles of miRNA and putative targets. Likelihoods for each predictive feature are computed based on a positive gold standard set. Step 3: Cupid assesses whether inferred targets compete for predicted miRNA regulators.
Massive Object Tracking Software (Matlab/Python)
TracTrac is a Particle Tracking Velocimetry (PTV) software which is extremely fast (more than 10k points tracked per second, 100k under python) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV/PTV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2.7 with OpenCV2) or Matlab (>2012a with Image Processing toolbox). Give it a try !
Matlab's MAT-file I/O API in JAVA. Supports Matlab 5 MAT-flie format reading and writing. Written in pure JAVA.
A MATLAB Automatic Differentiation Tool
ADiGator is a source transformation via operator overloading tool for the automatic differentiation of mathematical functions written in MATLAB. Given a user written file, together with information on the inputs of said file, ADiGator uses forward mode automatic differentiation to generate a new file which contains the calculations required to compute the numeric derivatives of the original user function. Furthermore, these calculations are written entirely in the native MATLAB language, and thus the process may be repeated to obtain nth order derivative files. The package is particularly appealing for applications where the same derivative must be found at multiple different points, i.e. non-linear root finding/optimization, stiff ode integration, etc.
Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms
Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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
Gait Recognition System
Gait Recognition System [Neural Networks ] V3.4 : Simple and Effective Source Code For Gait Biometric Recognition Based Neural Networks
MATLAB Coder converting Hello World M script to C or C++
Open Source Code Demo of MATLAB Coder converting Hello World M script to C++ file This is a simple demo of this powerful to demo the conversion of Matlab's M script file to a C++ file for your trading or target platform. Youtube video and Download the ZIP package from http://quantlabs.net/blog/2012/11/rading-or-hft-open-source-code-demo-of-matlab-coder-toolbox-converting-hello-world-m-script-to-c-file-free-opensource/
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.
Matlab/Octave implementation of the 2D Rigorous Coupled Wave Analysis
Geodetic-geocentric coordinate conversion program
An application for geodetic-geocentric coordinate conversion problem
Matlab package for the numerical study of Sturm-Liouville problems
MATSLISE is a graphical Matlab software package for the interactive numerical study of Sturm-Liouville problems. It allows the fast and accurate computation of the eigenvalues and the visualization of the corresponding eigenfunctions by making use of the power of high-order piecewise constant perturbation methods, also called the CP methods
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.
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/
GPLAB is a Genetic Programming Toolbox for MATLAB
An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
SPM surfrend toolbox is a suite of scripts that add surface-based rendering capabilities to SPM99/2 generated statistical maps.