forecast-lab/SSAE_keras: Data for: Short-term Daily Precipitation Forecasting with Seasonally-Integrated Autoencoder

This repository contains python codes accompanying the paper "Short-term Daily Precipitation Forecasting with Seasonally-Integrated Long Short-Term Memory Autoencoder for reproducibility". The codes come with the shell scripts to train and evaluate the autoencoder models (S2S1, S2S2 and SSAE) on the datasets used in the paper.