pnnl/neuromancer

A library for scientific machine learning and physics-informed learning

A differentiable PDE solving framework for machine learning

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A package for the sparse identification of nonlinear dynamical systems from data

Model predictive control python toolbox

A library for differentiable robotics on manifolds.

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control

Learning in infinite dimension with neural operators.