Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. - facebook/prophet ...

The data-driven approach has become significant in various scientific fields, such as climate modeling and weather forecasting, where a mechanistic description of physics and chemistry is either ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

The ability to detect change-points in a dynamic network or a time series of graphs is an increasingly important task in many applications of the emerging discipline of graph signal processing. This ...

Pastas is an open source python package for processing, simulating and analyzing groundwater time series. The object oriented structure allows for the quick implementation of new model components.