[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

PyLops – A Linear-Operator Library for Python

Rectified Flow Inversion (RF-Inversion) - ICLR 2025

Operator Discretization Library https://odl.readthedocs.io/

🦐 Electromagnetic Simulation + Automatic Differentiation

Deep learning framework for MRI reconstruction

Forward modeling, inversion, and processing gravity and magnetic data

Computational Tomography in PyTorch

Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

Probabilistic Inference on Noisy Time Series

Python based toolkit for Electrical Impedance Tomography

DEPRECATED in favor of our newer libraries (see www.fatiando.org). Python toolkit for modeling and inversion in geophysics.

Discretization tools for finite volume and inverse problems.

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

Scientific Computational Imaging COde