This repository contains all the elements of decoding SAAV's post reversal turn signal.
DecodingMain.ipynb: a Jupyter Notebook that can be run through to completion to recreate all results.
kfold.py: contains all logic for running our hierarchical cross-validation scheme
load_data.py: loads the relevant aligned data that is used in the modelling
model.py: contains the Recurrent Neural Network (RNN) model description
train.py: contains all training and evaluation logic
util.py: contains any helper functions used for data structuring or augmentation