python (3845) machine learning (3372) neuroscience (650) classifier (16) mvpa (11) pymvpa (1)
PyMVPA is a Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. It is designed to integrate well with related software packages, such as scikit-learn , shogun , MDP , etc. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is free software and requires nothing but
PyMVPA stands for M ulti V ariate P attern A nalysis ( MVPA ) in Py thon.
We welcome all kinds of contributions, and you do not need to be a programmer to contribute! If you have some feature in mind that is missing, some example use case that you want to share, you spotted a typo in the documentation, or you have an idea how to improve the user experience all together – do not hesitate and contact us . We will then figure out how your contribution can be best incorporated. Any contributor will be acknowledged and will appear in the list of people who have helped to develop PyMVP
nipy.org
Psychoinformatics – Psychoinformatics
GitHub - duecredit/duecredit: Automated collection and reporting of citations for used software/methods/datasets
Ryan M Stolier, PhD
DeLINEATE Toolbox
BrainSignals: Publicly available brain signals EEG MEG ECoG data
nipy.org