v1.1

Updated code and improved commentaries and READMEs

First version on both feature-based and deep learning approaches

Feature-based

• Various Time, Frequency, Non-linear, SQI and morphological features
• Bagged trees and simple neural network as classifier

Deep learning

• ResNet 34 layers as Rajpurkar
• Pad/truncantion to 30s is used