General-purpose library for fitting models to data with correlated Gaussian-distributed noise

Hierarchical Bayesian estimation of MEP recruitment curves

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Probabilistic Inference on Noisy Time Series

PyAutoFit: Classy Probabilistic Programming

Data Assimilation with Python: a Package for Experimental Research

Probabilistic Programming and Nested sampling in JAX

Pre-trained Gaussian processes for Bayesian optimization

This repository contains supporting code for the paper "Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo" by Mingo et al.

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

High-quality implementations of standard and SOTA methods on a variety of tasks.

Python Rock-Paper-Scissors experiments

Tutorials on data assimilation (DA) and the EnKF

Bayesian estimation approach for exponential random graph models (ERGMs) using a double Metropolis-Hasting (DMH) algorithm.

MetaHierTS is a novel recommendation system algorithm aimed at enhancing user experiences in online marketing. This algorithm focuses on leveraging metadata and similarities between tasks to optimize decision-making in a multi-task Multi-Armed Bandit (MAB) environment.

Alternative dark matter models (CDM and SFDM) for GravSphere.

Repository for the proposed DANSE method (accepted at EUSIPCO'23)

Sparse Bayesian Multidimensional Item Response Theory

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

🚂 Python API for Emma's Markov Model Algorithms 🚂