Physics-informed neural networks for guided wave propagation

This repository reproduces the results of the paper "Deep learning for fast simulation of seismic waves in complex media" (B. Moseley et al, 2020, Solid Earth)

This is the official implementation of BigFWI.

A collection of codes with OpenFWI project

A collection of codes to perform FWI with Devito

An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.

A library for scientific machine learning and physics-informed learning

Wave propagation modules for PyTorch.

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

A fast and differentiable QP solver for PyTorch.

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

A collection of sample agents built with Agent Development Kit (ADK)

zea: A Toolbox for Cognitive Ultrasound Imaging

A 15TB Collection of Physics Simulation Datasets

Source code for our recent book entitled Model-Based Deep Learning

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

A collection of resources and papers on Diffusion Models

A curated list of awesome self-supervised methods

PyLops – A Linear-Operator Library for Python

Full Waveform Inversion for Transmission Ultrasound Computed Tomography with Transmitting and Receiving Linear Array Transducers based on the Angular Spectrum Method

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …