Popular GitHub Repositories for Inverse Problems

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

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

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

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

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

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Learned Primal-Dual Reconstruction

Solving ill-posed inverse problems using iterative deep neural networks

The aim of this repository is to test and implement Flow-Matching-based models

[NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"

Official Implementation (Pytorch) of "DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems", ECCV 2024 Oral paper

[NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically

FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries

Workshop materials for training in scientific computing and scientific machine learning

Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)

FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning

This is a community-driven collection of resources around amortized inference.

Code for the article "Learning to solve inverse problems using Wasserstein loss"

Learning Diffusion Priors from Observations by Expectation Maximization