Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Filtering Posterior Sampling) as well as its extension FPS-SMC are proposed.

X-PSI: X-ray Pulse Simulation and Inference

Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL

Code for "Model-based Reinforcement Learning for Continuous Control with Posterior Sampling", ICML 2021

DiffeRential Evolution Adaptive Metropolis algorithm: MATLAB and Python Toolbox

Posterior estimation of kinetic parameters from dynamic PET data with consistency models

[CVPR 2025] Consistency Posterior Sampling for Diverse Image Synthesis

code source for the paper "Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors", ICML 2026

Generative diffusion posterior sampling for informative likelihoods

Approximation Bayesian Computation: Population Monte Carlo in MATLAB and Python

Accuracy comparison between a Bayesian and a classic logistic regression model in Python to predict ICU admission in pediatric candidemia patients. Identified key clinical risk factors through odds ratio, posterior inference, model diagnostics, and predictive performance evaluation.

Reimplementation of the highly cited paper "Diffusion Posterior Sampling for General Noisy Inverse Problems" by H. Chung et. al [2023]

Limits of Acceptability with DREAM algorithm: MATLAB and Python code

An interactive R Shiny dashboard for exploring Bayesian statistics. Visualizes prior and posterior distributions for Binomial, Poisson, and Normal models, and features built-in MCMC simulation tools.