neuraloperator

A library for Koopman Neural Operator with Pytorch.

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

Automatic Functional Differentiation in JAX

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics

Codomain attention neural operator for single to multi-physics PDE adaptation.

NodeLab is a simple MATLAB-repository for node-generation and adaptive refinement for testing, and implementing various meshfree methods (including physics-informed neural networks, PINNs and DeepOnet) for solving PDEs in arbitrary domains.

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.

A PyTorch implementation of MedSegDiff, a diffusion probabilistic model designed for medical image segmentation.

Implementation of Fourier Neural Operator from scratch