Projects in Awesome Lists tagged with sequential-monte-carlo

https://github.com/nchopin/particles

Sequential Monte Carlo in python

bayesian-inference kalman-filter particle-filter pmcmc quasi-monte-carlo sequential-monte-carlo smc2

Last synced: 04 May 2025

https://github.com/baggepinnen/lowlevelparticlefilters.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

bayesian-inference control-systems controls data-assimilation dynamical-systems estimation extended-kalman-filter gnss guidance-navigation-control kalman-filter monte-carlo-methods parameter-estimation particle-filter prediction-error-method sequential-monte-carlo state-estimation system-identification tracking unscented-kalman-filter virtual-sensing

Last synced: 15 Mar 2025

https://github.com/baggepinnen/LowLevelParticleFilters.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

bayesian-inference control-systems controls data-assimilation dynamical-systems estimation extended-kalman-filter kalman-filter monte-carlo-methods parameter-estimation particle-filter prediction-error-method sequential-monte-carlo state-estimation state-estimation-algorithms state-estimation-filters system-identification unscented-kalman-filter virtual-sensing virtual-sensors

Last synced: 04 May 2025

https://github.com/tingiskhan/pyfilter

Particle filtering and sequential parameter inference in Python

bayesian-inference particle-filter pytorch sequential-monte-carlo time-series

Last synced: 04 May 2025

https://github.com/turinglang/advancedps.jl

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

particle-filter particle-mcmc sequential-monte-carlo

Last synced: 11 Mar 2025

https://github.com/probcomp/genparticlefilters.jl

Building blocks for simple and advanced particle filtering in Gen.

bayesian-inference particle-filter probabilistic-programming sequential-monte-carlo

Last synced: 08 May 2025

https://github.com/neuralyzer/pyabc

pyABC: distributed, likelihood-free inference

approximate-bayesian-computation distributed-computing parallel-computing python sequential-monte-carlo

Last synced: 02 May 2025

https://github.com/christophmark/bayesianfridge

Sequential Monte Carlo sampler for PyMC2 models.

inference inference-engine model-selection monte-carlo sequential-monte-carlo

Last synced: 22 Nov 2024

https://github.com/tlienart/smc.jl

Sequential Monte Carlo methods in Julia (experimental)

bayesian-inference sequential-monte-carlo statistics

Last synced: 15 Apr 2025

https://github.com/jbris/deep-root-gen

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

3d-modelling 3d-models approximate-bayesian-computation bayesian-inference bayesian-statistics crop-model crop-modeling dash-app dash-plotly deep-learning generative-neural-network likelihood-free-inference normalising-flows normalizing-flows optuna root-system root-system-architecture sequential-monte-carlo simulation-based-inference simulation-modeling

Last synced: 12 Jan 2025

https://github.com/charlesknipp/sequential_monte_carlo

This module is an efficient and flexible implementation of various Sequential Monte Carlo (SMC) methods. Bayesian updates occur for both latent states and model parameters using joint inference.

julia mcmc-methods sequential-monte-carlo

Last synced: 11 Mar 2025