README.md

FGL

Everything in this repo is run from the project root as a module. python -m

Requirements

Pytorch 1.0 scikit nilearn nibabel torch-scatter (https://github.com/rusty1s/pytorch_scatter) pycairo

Getting Data

Neurovault datasets

wget http://cogspaces.github.io/assets/data/hcp_mask.nii.gz python -m data.get_data [dataset names] --fetch --stats will save datasets to /data/neurovault/ python -m data.upsample_data will upsample camcan and brainomics to the MNI152 template downloaded above.

HCP datasets

python -m data.download_hcp [hcp location]. Read the file to understand whats going on. (The variables you'll need to change to configure stuff is at the top of the code)

Parcellation

python -m data.parcellations number-of-parcels [directory containing hcp] [output destination]

Running stuff

Classification Experiments

sh run_all.sh

Autoencoder experiments