1. get_train_test.ipynb shows that how we construct our data for training and test in our study.
2. CALNet_model.ipynb contains the structure of CALNet, our model to identify EBs and also can be used in other classification study.
3. preprocessing.ipynb shows the preprocessing steps of our data -- LC.
4. predict.ipynb displays how we use CALNet to identify new EBs.