wby920920 / MILC

MILC on ICA components

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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:

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.

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MILC on ICA components


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Language:Jupyter Notebook 65.9%Language:Python 34.1%