Deep SIBYL (D-SYBIL) is an advanced forecasting service and time-series research tool. It comprises a stacked ensemble of cutting-edge deep learning (DL) models that capture more complex, nonlinear, and multivariate patterns in time-series data. Immediate use cases of D-SYBIL range from mapping extreme weather patterns (like flooding) to tracking crypto price movements (like boom/bust cycles). D-SYBIL is an independent service from SYBIL, a DF-R2 awarded service that contains mainly statistical and machine learning (ML) base models. Nevertheless, D-SYBIL can combine with SYBIL to become the ultimate forecasting service on the SNET platform, covering a wide array of time-series applications.
