Popular GitHub Repositories for Reduced Order Models

Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Probabilistic Response mOdel Fitting with Interactive Tools

Solving a non-linear elliptic problem via POD, PINN and POD-nn approaches