CederGroupHub/chgnet

ORB forcefield models from Orbital Materials

Graph deep learning library for materials

Universal machine-learning models for advanced atomistic simulations

MatterSim: A deep learning atomistic model across elements, temperatures and pressures.

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

Foundation Model for Materials - FM4M

SchNetPack - Deep Neural Networks for Atomistic Systems

NequIP is a code for building E(3)-equivariant interatomic potentials

Code for automated fitting of machine learned interatomic potentials.