Models for timeseries forecasting.
Timeseries models share a number of common characteristics.
DeepAR: Probabilistic forecasting with autoregressive recurrent networks which is the one of the most popular forecasting algorithms and is often used as a baseline
N-Beats model for timeseries forecasting without covariates.
The temporal fusion transformer is a powerful predictive model for forecasting timeseries