README.md

First, download all files in this folder. The code to run is in files main_ff.m, main_lstm.m, and main_rc.m. Follow the directions within these files to make predictions using our trained neural networks, or to train your own neural networks to make predictions on our data.

Each file loads data from either rossler_data.mat, FHN_data.mat, KF_fourier_data.mat, or KF_vorticity_data.mat, depending on which you specify.

(The file main_rc.m will direct you to main_rc.ipynb at some point if you want to train a new reservoir computing network, as we implemented these networks in Python.)

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This repository contains the data and code for reproducing the results of the following manuscript: "Model-assisted deep learning of rare extreme events from partial observations" by A. Asch, E. Brady, H. Gallardo, J. Hood, B. Chu and M. Farazmand. The above paper must be appropriately cited if the data and/or code is used.