The repository contains scripts and outputs of COVID-19 forecasting developed by University of California, Santa Barbara.. The data-driven model named ACTS forecasts COVID-19 related data, e.g. confirmed cases, hospitalizations and deaths, along time. They assume that the development of the pandemic in the current region will be highly similar to another region with similar patterns a few months ago. Attention mechanism is used to compare and match such patterns and generate forecasts. Additional features such as demographic data and medical resources are leveraged to more precisely measure the similarity between regions.