..
We are putting the title as a raw HTML so that it doesn't appear in
the contents
.. container:: index-paragraph
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.
.. Here we are building the carrousel
.. |glass_brain| image:: auto_examples/manipulating_visualizing/images/plot_demo_glass_brain_002.png
:target: auto_examples/manipulating_visualizing/plot_demo_glass_brain.html
.. |connectome| image:: auto_examples/connectivity/images/plot_inverse_covariance_connectome_004.png
:target: auto_examples/connectivity/plot_inverse_covariance_connectome.html
.. |haxby_weights| image:: auto_examples/images/plot_haxby_simple_001.png
:target: auto_examples/plot_haxby_simple.html
.. |oasis_weights| image:: auto_examples/decoding/images/plot_oasis_vbm_002.png
:target: auto_examples/decoding/plot_oasis_vbm.html
.. |rest_clustering| image:: auto_examples/connectivity/images/plot_rest_clustering_001.png
:target: auto_examples/connectivity/plot_rest_clustering.html
.. |canica| image:: auto_examples/connectivity/images/plot_canica_resting_state_011.png
:target: auto_examples/connectivity/plot_canica_resting_state.html
.. |searchlight| image:: auto_examples/decoding/images/plot_haxby_searchlight_001.png
:target: auto_examples/decoding/plot_haxby_searchlight.html
.. raw:: html