NodeLab

A library for scientific machine learning and physics-informed learning

Learning in infinite dimension with neural operators.

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.

This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH jointly by Siddhartha Mishra and Benjamin Moseley in Spring 2024. The description of the tasks can be found in the PDFs.