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The implementation is heavily inspired from the open source contributions of Xifeng Guo.

This directory contains

  1. capsnet ** capsnetv2.py --- Routing with Agreement implementation ** capsulelayers.py-- Capsule layer implementation **capsnetv3.py-- loads saved weights to run tests **tensorflow.sh--runs a shell script for the routing with agreement algo, or loads saved weights

  2. convnet ** CNN code

  3. class_transition_matrix.py ** dumps confusion matrix, acc, recal

citation

@article{chattopadhyay2020analog, title={Analog forecasting of extreme-causing weather patterns using deep learning}, author={Chattopadhyay, Ashesh and Nabizadeh, Ebrahim and Hassanzadeh, Pedram}, journal={Journal of Advances in Modeling Earth Systems}, volume={12}, number={2}, pages={e2019MS001958}, year={2020}, publisher={Wiley Online Library} }

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Companion code for "Analog forecasting of extreme-causing weather patterns using deep learning"

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