Stars
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Domain decomposition inspired CNN for image segmentation, leveraging multiple GPUs for high-resolution images
Numerical illustrations of the error analysis conducted in https://arxiv.org/abs/2311.00529
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Material for workshop and autumn school on scientific machine learning 2023
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continui…
ALCF Computational Performance Workshop
Nonlinear Finite Element Code for structural applications with simplicity in mind.
Parallel Python FETI-code dedicated to structural mechanics problems