Code, data and some pre-trained models developed during the PhD of Hugo Boulenc entitled "Solving Inverse Problems with Physics-Informed Machine Learning for Flood Dynamics". In this work, Physics-Informed Neural Networks and other Physics-Informed neural architectures were used to perform high-dimensional data assimilation on hydraulics and hydrology models for flood dynamics.