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The main goal of this project is to develop new algorithms of machine learning and collect examples of existing methods. This collection pursues scientific and educational purposes.
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.
This project houses software to analyze data acquired from electrophysiology experiments. Currently, we have an Octave/MATLAB program to analyze electroneurogram traces of coupled oscillators, and a Perl library for the analysis of voltage trace data
...For information on SPIW's performance see our publication ( http://dx.doi.org/10.1063/1.4827076 ) in the Review of Scientific Instruments.
A related open-source project SPIEPy (https://pypi.python.org/pypi/SPIEPy/) is developing a python library to for automated SPM imaged enhancement. SPIEPy brings many SPIW algorithms to the Python user.
An image processing and analysis library for Matlab
...It contains more than 250 fonctions for image enhancement, filtering, analysis, or visualisation, as well as for creating basic test shapes. It is built as a complement of the Mathworks image processing toolbox (IPT).
Project is being transfered to GitHub:
http://github.com/dlegland/matImage
MATLAB Audio Database Toolbox enables easy access and filtering of audio databases such as TIMIT and YOHO by their metadata. The database toolbox comes to replace the manual filtering and custom coding usually required for accessing such databases.
The class libraries here provide infrastructure for creating simulations of low energy nuclear physics experiments, as well as some useful working programs that do simple simulations and analysis of experiments performed with magnetic spectrographs.