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BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. About 50 different data formats are supported.
A file format for exchanging computational models in systems biology
The Systems Biology Markup Language (SBML) is an XML-based description language for representing computational models in systems biology. Visit the project web site to learn more.
The Sound Description Interchange Format (SDIF) is an established standard for the interchange of sound descriptions and analysis data. This project provides libraries, SDIF (in C) and Easdif (in C++), tools, and wrappers to read and write SDIF files.
CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
The MATLAB software toolbox for MEG and EEG analysis
FieldTrip is the Matlab toolbox for EEG and MEG data. It includes algorithms for simple and advanced analysis, such as importing, preprocessing, time-frequency analysis, source reconstruction, statistical testing and connectivity analysis.
primeHandle is a set of data management tools in support of the PrIMe Initiative (http://primekinetics.org). primeHandle includes graphical user interfaces for searching through data collections, editing and submitting data to the PrIMe Data Depository.
Search and export numerics from any text/ascii file. Data sets (scalar, vector, matrix) are given unique names, based on file content. Results can be generated for Matlab, IDL, Scilab, Octave, XML, HTML A wrapper exists for direct usage from Matlab.
Axon Library (libaxon) is an Open Source, cross-platform, C++ library for reading files in Axon Binary Format. Currently only ABF2 is supported. Additionally, project include binders for Python and 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.
Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.