sequential-monte-carlo | Topic | Ecosyste.ms: Repos

Topic: "sequential-monte-carlo"

nchopin/particles

Sequential Monte Carlo in python

Language: Python - Size: 5.19 MB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 443 - Forks: 77

baggepinnen/LowLevelParticleFilters.jl

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

Language: Julia - Size: 350 MB - Last synced at: about 6 hours ago - Pushed at: about 7 hours ago - Stars: 128 - Forks: 17

kingaa/pomp

R package for statistical inference using partially observed Markov processes

Language: R - Size: 1.01 GB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 114 - Forks: 27

tingiskhan/pyfilter 📦

Particle filtering and sequential parameter inference in Python

Language: Python - Size: 30.5 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 81 - Forks: 17

FRBNY-DSGE/SMC.jl

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Language: Julia - Size: 114 MB - Last synced at: 19 days ago - Pushed at: 27 days ago - Stars: 72 - Forks: 20

TuringLang/AdvancedPS.jl

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Language: Julia - Size: 27.5 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 55 - Forks: 12

probcomp/GenParticleFilters.jl

Building blocks for simple and advanced particle filtering in Gen.

Language: Julia - Size: 434 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 2

cyianor/smc2017

Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017

Language: Jupyter Notebook - Size: 55.1 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 19 - Forks: 15

mukeshramancha/transitional-mcmc

This repo contains the code of Transitional Markov chain Monte Carlo algorithm

Language: Python - Size: 24.1 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 2

OnlinePhylo/sts

Sequential Tree Sampler for online phylogenetics

Language: C++ - Size: 10.6 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 16 - Forks: 3

christophmark/bayesianfridge

Sequential Monte Carlo sampler for PyMC2 models.

Language: Python - Size: 54.7 KB - Last synced at: 17 days ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 3

neuralyzer/pyabc

pyABC: distributed, likelihood-free inference

Size: 25.8 MB - Last synced at: 13 days ago - Pushed at: over 7 years ago - Stars: 13 - Forks: 3

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).

Language: Jupyter Notebook - Size: 135 MB - Last synced at: about 20 hours ago - Pushed at: 8 days ago - Stars: 11 - Forks: 1

felixleopoldo/trilearn

Bayesian structure learning and classification in decomposable graphical models.

Language: Python - Size: 1.6 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 5

mooresm/serrsBayes

R package serrsBayes

Language: R - Size: 8.21 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 3

miroslavradojevic/pnr

Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation

Language: C++ - Size: 1.01 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

enceladus-rex/nasmc

An implementation of Neural Adaptive Sequential Monte Carlo (NASMC) using PyTorch

Language: Python - Size: 313 KB - Last synced at: 4 months ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 3

amoretti86/PSVO

Implementation of Particle Smoothing Variational Objectives

Language: Python - Size: 102 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 1

tlienart/SMC.jl

Sequential Monte Carlo methods in Julia (experimental)

Language: Julia - Size: 38.1 KB - Last synced at: 2 days ago - Pushed at: almost 8 years ago - Stars: 5 - Forks: 1

AdrienCorenflos/particle_mala

Gradient-informed particle MCMC methods

Language: Python - Size: 1.51 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

amoretti86/phylo

Variational Combinatorial Sequential Monte Carlo methods for Bayesian Phylogenetic Inference

Language: Python - Size: 3.49 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

biips/rbiips

R package for Bayesian inference with interacting particle systems

Language: R - Size: 6.17 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

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.

Language: Python - Size: 4.71 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

SeyedMuhammadHosseinMousavi/Synthetic-Data-Generation-by-Sequential-Monte-Carlo

Synthetic Data Generation by Sequential Monte Carlo (SMC)

Language: MATLAB - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

alessandro-viani/ToyExample

Example of an inverse problem where the aim is to reconstruct the parameters of an unknown number of weighted Gaussian function

Language: Jupyter Notebook - Size: 3.04 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ocbe-uio/elfi Fork of elfi-dev/elfi

A Python package for likelihood-free inference (LFI) methods such as Approximate Bayesian Computation (ABC)

Language: Python - Size: 1.27 MB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0