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

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

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

FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning

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

Learning Diffusion Priors from Observations by Expectation Maximization