Sequential Monte Carlo Python Packages

particles

Sequential Monte Carlo in python

trilearn

Bayesian structure learning and classification in decomposable graphical models.

grainlearning

A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).

pysips

A symbolic regression tool designed to work with noisy data

smcjax

Sequential Monte Carlo and particle filtering in JAX

bayesianfridge

Sequential Monte Carlo sampler for PyMC2 models.