Diffraction Contrast Tomography analysis code
Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK.
An open infrastructure software to facilitate radiomics research.
This web page is not guaranteed to have the latest versions. The latest stand-alone version can be downloaded at http://bit.ly/IBEX_MDAnderson The latest source-code version can be downloaded at http://bit.ly/IBEXSrc_MDAnderson IBEX (imaging biomarker explorer) is an open infrastructure software platform that flexibly supports common radiomics workflow tasks such as multimodality image data import and review, development of feature extraction algorithms, model validation, and consistent data sharing among multiple institutions. IBEX software package was developed using the MATLAB and C/C++ programming languages. The software architecture deploys the modern model-view-controller, unit testing, and function handle programming concepts to isolate each quantitative imaging analysis task, to validate if their relevant data and algorithms are fit for use, and to plug in new modules.
Optimized H.264 baseline codec for PC and TI DSP DM6437.SFIPExe is TI DSP DM6437 based video/audio/command/sensor interface for IP address activities controlling. Information available at: http://www.smallfishdev.com. "SFIPExe" Video availabe in YouTub
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.
IDL2Matlab is an Automatic translation tool from an IDL program into Matlab and Scilab code. We do not guaranty a 100% conversion efficiency.
A suite of programs for performing particle image velocimetry, a common technique in the field of fluid mechanics. The suite includes programs to perform cross-correlation, synthetic image generation, as well as graphical visualization.
A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.
A shared memory parallel sparse matrix library including Sparse BLAS.
librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is especially well suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.
A library for fast computation of Gauss transforms in multiple dimensions, using the Improved Fast Gauss Transform and Approximate Nearest Neighbor searching. This library is useful for efficient Kernel Density Estimation (KDE) using a Gaussian kernel.
GPUmat is a C/C++ GPU engine for Matlab based on NVIDIA CUDA.
Please download Windows and Linux version by clicking on "Browse All Files". GPUmat allows standard MATLAB code to run on GPUs. The engine is written in C/C++ and based on NVIDIA CUDA. Please contact email@example.com for any questions. Unfortunately GPUmat was compiled for CUDA 5.0 and we basically stopped any support for other CUDA version because we don't have the resources to do it. But you can compile the source code if you want. Instructions to compile the source code: You need to download a SVN client and then from command line: svn export http://svn.code.sf.net/p/gpumat/code/trunk ./GPUmat the above command creates a folder ./GPUmat with the source code. Then go to the 'doc' folder, open the GPUmat_Developer_Guide.pdf and check the chapter "Source code compilation"
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.
rtmc9s12-Target is a MATLAB/Simulink block-set for real-time control on Freescale MC9S12 microcontrollers.
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 quantum physics toolbox for small fermionic systems. Keywords: quantum mechanics, reduced density matrices, Slater determinants, second quantization, creation and annihilation operators
Matlab tool for plotting multi-channel biomedical signals. It is designed for researchers on both engineering and medicine who have to collaborate to visualize and analyze signals. It is the ideal tool to plot electroencephalogram (EEG), Foetal Heart Rate (FHR) and many other signals with the standard tools used in clinical routine.
Speedy Composer – Artificial Neural Network Melody Composer.
Speedy Composer is a composition software that makes use of artificial neural networks to compose melodies. Using Speedy Composer you can create an infinite number of royalty free compositions that you can use in your own projects, share with friends, or just listen for your enjoyment, all for free! Speedy Composer generates compositions complete with melodies and accompaniment, which you can download as MIDI files or MP3 files. The melodies will be composed according to the chord progression selected by you. You can choose from a number of chord progressions available. Before you can use Speedy Composer, you need to register to Speedy Net, or log-in if you already have a Speedy Net account. The melodies you compose will be saved to your personal folders on Speedy Composer, and if you want you can make your compositions public and share them with your friends. Have fun creating music with Speedy Composer!
An Efficient Binary data Format
EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code if needed. It is also designed to simplify the programming of input output routines in different programming languages. In a nutshell an EBF file is a collection of data objects. Each data object is specified by a unique name and a single file can have multiple data objects. Each data object is preceded by a meta-data or header which describes the binary data associated with it. Among other things, this header allows the files to be portable across systems with different endianess.
This is a public repository for the Accelerator Toolbox, Matlab based accelerator physics code.
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
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.
An Open-Source Library for Low-Power Approximate Computing Modules
The “lpACLib” library contains the VHDL description of accurate and approximate versions of several arithmetic modules (like adders and multiplier of different bit-widths) and accelerators. Moreover, it also provides the corresponding software behavioral models/implementations developed in C and MATLAB to enable quality characterization. Besides our novel designs, it also contains implementations for several state-of-the-art arithmetic modules and their approximate versions. This open-source library facilitates research and development in approximate computing at higher abstraction levels, and to facilitate reproducible research and comparisons. In case of usage, please refer to our publication: Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jörg Henkel, "Cross-Layer Approximate Computing: From Logic to Architectures", Design Automation Conference (DAC), 2016. Contributors: Authors, Vanshika Baoni, M. Abdullah Hanif http://ces.itec.kit.edu/lpACLib.php
Tools for mass spectrometry, especially for protein mass spectrometry and proteomics: Quantification tools, converters for Applied Biosystems (Q Star and Q Trap), calculation of in-silico fragmentation spectra, converter for Mascot result files
A highly scalable network emulation tool which emulates dynamic, mobile ad-hoc wireless network topologies in real-time, featuring easy deployment and detailed network models. It was developed in the research project HIDENETS (http://www.hidenets.aau.dk)
BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.