mloss | Projects authored by alexandre abraham.

Nilearn 0.1.2

by goulagman - April 29, 2015, 16:16:25 CET [ ] 11220 views, 2332 downloads, 0 subscriptions

About: Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data. It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

Changes:

Initial Announcement on mloss.org.

Authors: Gael Varoquaux, Alexandre Abraham, Loic Esteve, Danilo Bzdok, Chris Filo Gorgolewski, Michael Eickenberg, Ben Cipollini, Virgile Fritsch, Philippe Gervais, Alexandre Gramfort, Bertrand Thirion
License: Bsd 3 Clause License
Programming Language: Python

Operating System: Agnostic
Data Formats: Nifti, Any Format Supported By Nibabel
Tags: Python, Machine Learning, Statistical Learning, Neuroimaging, Scikit Learn

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Nilearn 0.1.2