OpenSees for AI

The OpenSees for AI project aims to build a simulation framework using OpenSees that is suitable for modern artificial-intelligence workflows. Objectives include developing a stateless interface that is amendable to parallelized training procedures. A primary outcome of this project is the OpenSeesRT interpreter framework, which is supporting the xara and opensees.openseespy Python packages. Members of the STAIRLab that are moving this forward include Wenhao Ruan, Kwok Tai (Issac) Pang and Guanren Zhou.

Find examples at https://gallery.stairlab.io/examples