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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)
MicroInverse is a Python package for inversion of a transport operator from tracer data
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.
Xin's insights into computational optics
Digital Twins for Computational Oncology
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
Single image super resolution algorithm RED+ADMM+De-QuIP
Bayesian model reconstruction based on astronomical spectral line observations.
Python port of Redbird - a comprehensive DOT image reconstruction toolbox
Code for generating deep learning data through X-ray tomography for object detection
Temporal laser-pulse-shape effects in nonlinear Thomson scattering
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.
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