Fast C++ library for linear algebra (matrix maths) and scientific computing. Easy to use functions and syntax, deliberately similar to Matlab. Uses template meta-programming techniques. Also provides efficient wrappers for LAPACK, BLAS, ATLAS, ARPACK and SuperLU libraries, including high-performance versions such as OpenBLAS and Intel MKL. Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. For more details, see http://arma.sourceforge.net
Cantera is a suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and/or transport processes. It can be used from MATLAB, Python, C++, or Fortran.
Open source 3D Matlab Isogeometric Analysis Code
Isogeometric analysis (IGA) is a fundamental step forward in computational mechanics that offers the possibility of integrating methods for analysis into Computer Aided Design (CAD) tools and vice versa. The benefits of such an approach are evident, since the time taken from design to analysis is greatly reduced leading to large savings in cost and time for industry. The tight coupling of CAD and analysis within IGA requires knowledge from both fields and it is one of the goals of the MIGFEM is to provide a simple-to-understand IGA FEM code. The work is funded under the FP7 Initial Training Network Funding under grant number 289361 'Integrating Numerical Simulation and Geometric Design Technology.' If you use this code or inspired by it please cite the following reference in your work: VP Nguyen, C Anitescu, S Bordas, T Rabczuk. "Isogeometric analysis: an overview and computer implementation aspects". Mathematics and Computers in Simulation, (2015), pp. 89-116, Vol 117.
A Numerical MRI Simulation Platform
The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time imaging technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application. If you find MRiLab useful for your work, please cite this paper: Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 2016. doi: 10.1109/TMI.2016.2620961 MRiLab v1.3 is available now, with supports for generalized multicomponent tissue model.
Moved to https://github.com/rdiankov/openrave An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
A speech recognition system using Matlab/Simulink/Stateflow.
This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.
RLaB is an interactive, interpreted scientific programming environment which provides fast prototyping and program development, similar to matlab(c). Project rlabplus provides the second release of the environment for 32- and 64-bit linux systems.
Implementation of duration high-order hidden Markov model in Matlab.
Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition.
XFEM implementation in MATLAB
The extended finite element method (XFEM) classified, one of the partition of unity method (PUM), allows discontinuities to be simulated independently of the mesh. This is possible by adding appropriate functions to the FE approximation basis, for example, the Heaviside function. The discontinuities can evolve in time, without a need for a conforming mesh. A MATLAB implementation of the XFEM written by VP Nguyen, is given here. The interaction of cracks and crack-inclusion interaction is modelled with XFEM framework. The elements intersected by discontinuity surface are sub-divided into quadrature subcells aligned with the discontinuity and higher order quadrature is adopted. The implementation is described in the following article: Meshless methods: a review and computer implementation aspects VP Nguyen, T Rabczuk, S Bordas, M Duflot, Mathematics and computers in simulation 79 (3), 763-813.
A Matlab/Octave toolbox to design, simulate, and analyze optical communication systems. Open source, fast (using MEX), user-friendly and customizable, it includes cutting-edge solutions for: modulation formats, performance estimation, fiber propagation.
Analysis of undersea fish videos
The Fish4knowledge project investigated: information abstraction and storage methods for analyzing undersea video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for detecting & describing fish, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this. The project used live video feeds from 10 underwater cameras as a testbed for investigating more generally applicable methods for capture, storage, analysis and querying of multiple video streams. We collated a public database from 3 years containing video summaries of the observed fish and associated descriptors. Expert web-based interfaces were developed for use by marine researchers, allowing unprecedented access to live and previously stored videos, or previously extracted information.
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/
Forward and inverse modelling in optical tomography
Toast++ is a C++ software package for modelling light transport in scattering media using the finite element method. It allows 3D reconstruction of absorption and scattering distributions inside an object from boundary measurements of light transmission, using steady state, time domain or frequency domain information. Matlab and Python bindings exist for ease of use and fast prototyping.
A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).
A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a command line interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .
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.
The Sick LIDAR Matlab/C++ Toolbox offers stable and easy-to-use C++ drivers for Sick LMS and Sick LD LIDARs. It provides a Matlab Mex interface for streaming LIDAR returns directly into Matlab. Also included are config utilities, examples, and tutorials.
IDL2Matlab is an Automatic translation tool from an IDL program into Matlab and Scilab code. We do not guaranty a 100% conversion efficiency.
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. All Python users are urged to download v3.0b, which has some major bug fixes. The latest Python version is v3.0b released on 6 Mar 2018. IDL and Matlab versions are v3.0a from 22 Jan 2018.
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.
Open Source Implementations for 3D-Surface Characterisation Algorithms according to ISO 25178 (Geometric Product Specification) in verifiable pseudocode (MATLAB). Implementation of an XML-based file exchange format according to upcoming ISO 25178-72.
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.
Optimization toolbox for analyzing metabolic networks
Metaopt contains direct C++ implementations of metabolic analysis methods based on flux optimization. It is mainly developed to solve thermodynamically constrained FBA and FVA (tFVA) efficiently.
A MATLAB toolbox to simulate optical systems
Modal Interferometer Simulation Tool (MIST) is a MATLAB toolbox that can simulate arbitrary resonant optical systems in the paraxial beam approximation. It allows the user to define any optical setup (composed typically of laser sources, mirrors, lenses, electro-optical modulators and detectors) and to compute the static laser field at any point. It uses a Hermite-Gauss modal decomposition to simulate diffraction limited optics. This tool is being developed mainly for simulation of large scale interferometers with resonant cavities used for the detection of gravitational waves. Subscribe to the mailing list for updates and news. If you use MIST in your own simulation work, please cite is as G. Vajente, "Fast modal simulation of paraxial optical systems: the MIST open source toolbox" Classical and Quantum Gravity 30, 075014 (2013)
A Multi-functional GUI-based Program for Image Processing and Analysis
Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited or tailored for processing two-dimensional matrix. The MatrixUser is a software package which features functions designed and optimized specifically for manipulating multidimensional real or complex data matrix. MatrixUser provides a nice graphical environment for easily performing image analysis tasks including multidimensional image display, matrix (image stack) processing and rendering etc. MatrixUser is a great lightweight tool for users who are working in image processing field under Matlab. Note: _____________________________ MatrixUser v2.2 has been released. _______3pm, Aug. 30, 2014, UTC-06:00__