nchopin / particles Star 506 Code Issues Pull requests Discussions Sequential Monte Carlo in python particle-filter bayesian-inference kalman-filter sequential-monte-carlo pmcmc smc2 quasi-monte-carlo Updated Sep 24, 2026 Python
TUM-ITR / PGopt Star 6 Code Issues Pull requests Particle Gibbs-based optimal control with performance guarantees for unknown systems with latent states julia matlab mpc dynamical-systems control-systems optimal-control particle-gibbs pmcmc learning-control data-driven-control Updated Jun 23, 2025 Julia
chris-stanton50 / particles-cdssm Star 2 Code Issues Pull requests Sequential Monte Carlo methods for Continuous-Discrete State Space Models particle-filter bayesian-inference stochastic-differential-equations sequential-monte-carlo pmcmc smc2 Updated Mar 10, 2026 Jupyter Notebook
marija-iloska / pmcmc_CO_Pd Star 1 Code Issues Pull requests We propose a particle MCMC sampler to learn the kinetic parameters of a chemical system, specifically the adsorption and desorption of CO on Pd(111). application time-series signal-processing particle-filter kinetics mcmc-sampler pmcmc transient-kinetics infrared-spectroscopy Updated Sep 27, 2024 Jupyter Notebook
borodark / smc_ex Star 0 Code Issues Pull requests Sequential Monte Carlo methods for Elixir — Bootstrap Particle Filter, PMCMC, Online SMC². Streaming Bayesian inference on the BEAM. elixir beam particle-filter elixir-lang probabilistic-programming epidemiology bayesian-inference state-estimation elixir-library sequential-monte-carlo pmcmc Updated May 2, 2026 Elixir