Whole MILC: generalizing learned dynamics across tasks, datasets, and populations

https://arxiv.org/abs/2007.16041

Usman Mahmood, Mahfuz M. Rahman, Alex Fedorov, Noah Lewis, Zengin Fu, Vince D. Calhoun, Sergey M. Plis

Dependencies:

PyTorch
Scikit-Learn
Catalyst

conda install pytorch torchvision -c pytorch
conda install sklearn

Installation

# PyTorch
conda install pytorch torchvision -c pytorch
git clone https://github.com/UsmanMahmood27/MILC.git
cd MILC
pip install -e .
pip install -r requirements.txt

MILC downstream:

Here's a sample example using pre-trained model for COBRE classification using 40 subjects per class for training:

python -m scripts.run_ica_experiments_COBRE_catalyst --pre-training milc --script-ID 3 --exp UFPT --method sub-lstm

Or run the jupyter notebook file with the same name. Requires installation of jupyter.