Modular and scalable computational imaging in Python with GPU/out-of-core computing.

Official repository for "Regularization by Texts for Latent Diffusion Inverse Solvers" (ICLR2025 spotlight)

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.

Signal and image denoising using quantum adaptive transformation.

Differentiable N-body code (JAX)

Digital Twins for Computational Oncology

MicroInverse is a Python package for inversion of a transport operator from tracer data

Xin's insights into computational optics

Deep Denoising by Quantum Interactive Patches. A deep neural network called DIVA unfolding a baseline adaptive denoising algorithm (De-QuIP), relying on the theory of quantum many-body physics.

Offical Pytorch Implementation of EnKG

Denoising by Quantum Interactive Patches

Interactive MATLAB-based SEIRSVBH Simulator for COVID-19 modeling and analysis. Performs error quantification, parameter estimation, and direct simulations using officially reported data for Bulgaria (2020–2023).

🎼 DiffMusic: A Training-Free Diffusion Framework for Music Inverse Problem

Python port of Redbird - a comprehensive DOT image reconstruction toolbox

Bayesian model reconstruction based on astronomical spectral line observations.

Single image super resolution algorithm RED+ADMM+De-QuIP

Code for generating deep learning data through X-ray tomography for object detection

This repository implements a Reinforcement Learning (RL) framework to solve the inverse bone remodeling problem. While the forward problem predicts bone density changes from known loads, this project utilizes Proximal Policy Optimization (PPO) to identify unknown mechanical loading conditions from observed bone morphology.

crEITive is a software tool for complex geometrical optics reconstruction for the 3D Calderón problem