Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.

CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.

This detailed and robust compartmental model accompanies the manuscript Beining et al (2017): T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife

T2N is an extension of the TREES toolbox providing an interface between Matlab and the compartmental modeling environment NEURON. It was published in (and should be cited this way): Beining M, Mongiat, LA, Schwarzacher SW, Cuntz H, Jedlicka P: T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born denta…

Generalized SEIR Epidemic Model (fitting and computation)