NinoLearn is a research framework for the application of machine learning (ML) methods for the prediction of the El Nino-Southern Oscillation (ENSO).
It contains methods for downloading relevant data from their sources, reading raw data, postprocessing it and then access the postprocessed data in an easy way.
Moreover, it contains models for the ENSO forecasting:
· Deep Ensemble Model (DEM)
· Encoder-Decoder Ensemble Model
Check out the documentation for more information: https://pjpetersik.github.io/ninolearn/