Far-InfraRed Emission Networks (FIRE-net) is a machine learning framework that
aims to estimate the far-infrared (FIR) spectral energy distribution (SED) of a
galaxy, based on the ultraviolet to mid-infrared (UV–MIR) SED.
tabs to switch figure (predicted vs true / uncertainty validation)
data points to select a particular galaxy and show its SED in the bottom panel