Enpowering Epidemic Modeling with EpiLearn!
Epilearn is a python library built for epidemic modeling, providing abundant tools to quickly construct and test epidemic models as well as analyze epidemic data.
It covers four tasks – forecasting, nowcasting, scenario modeling and outbreak detection – behind one model interface, and evaluates them with a shared rolling-window protocol that produces conformal prediction intervals. The model zoo has 65 classes (Models), 45 of which are wired into the config-driven benchmark. Start with the Quickstart for EpiLearn, then use the Benchmark page to compare many models from a single YAML config.
Installation
Usage