To run the code, 

prerequisites are torch>1.0 and numpy

##########.  INSTALLATIONS
We assume that the latest version of anaconda is installed.

Create a virtual environment torch which can be accessed by source activate torch
We use the following instructions to install and setup our environment.

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
conda create --name torch python=3.6
source activate torch
source torch/bin/activate
pip  install numpy scipy cython matplotlib pandas ipython seaborn jupyter Jinja2
pip  install sklearn
conda install pytorch torchvision -c pytorch
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%


##########.  EXECUTION
Execute any scripts with sh in the scripts folder.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 For example:
 sh scripts/permuted_MNIST_incremental_class.sh

would execute all the methods for permuted Mnist case. 
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%