Spring Dataset:

1. run 'Regular Spring Dataset Generator.py' to generate training and test samples.
2. run 'Regular_Spring.py' to train CTGRU, RIM, NeuralCDE, DNS.
3. to train Smooth_DNS, we need to run 'smooth_data.py' first and then run 'smooth_regular.py'.

IrrSpring Dataset:

1. run 'Irregular Spring Dataset Generator.py' (after running 'Regular Spring Dataset Gernerator.py') to gernerate training and test samples.

2. run 'Irregular_Spring.py' to train the model.