main.py: the main file to run including different models, pruning methods and percentages.

pretrained.py: training the original network and training the pruned network is wrtitten in this python code.

pruning_methods.py:  Diffetent pruning methods


modelfile.py:  pretrained models are provided there

loadingdata.py : two datasets CIFAR10 and CIFAR100 

generating_sample:  In montecarlo method, you need to generate samples using this python code.

Montecarlo.py: AP3 values using multivaraite T-Student distribution

AP3_gaussian:  If you use gaussing distribution with non diagonal covariance matricces as AP3, values will be provided using this file.

AP2_computation: AP2 values 

