Open
Documentation
4
#
sequential-monte-carlo
Here are 28 public repositories matching this topic...
R package for statistical inference using partially observed Markov processes
markov-model
r
time-series
state-space
statistical-inference
particle-filter
dynamical-systems
abc
differential-equations
mathematical-modelling
likelihood
markov-chain-monte-carlo
stochastic-processes
likelihood-free
simulation-modeling
b-spline
measurement-error
sequential-monte-carlo
sobol-sequence
pomp
-
Updated
Jul 10, 2020 - R
The Birch probabilistic programming language.
machine-learning
statistics
monte-carlo
probabilistic-programming
bayesian-inference
system-identification
bayesian-data-analysis
sequential-monte-carlo
probabilistic-programming-language
-
Updated
Jul 9, 2020 - C++
Particle filtering and sequential parameter inference in Python
-
Updated
Jul 4, 2020 - Python
Sequential Monte Carlo algorithm for approximation of posterior distributions.
time-series
economics
econometrics
bayesian-inference
mcmc
online-algorithms
sequential-monte-carlo
adaptive-algorithm
-
Updated
Jul 10, 2020 - Julia
Simple particle/kalman filtering, smoothing and parameter estimation
estimation
particle-filter
dynamical-systems
control-systems
bayesian-inference
unscented-kalman-filter
state-estimation
system-identification
kalman-filter
monte-carlo-methods
sequential-monte-carlo
log-likelihood
-
Updated
May 25, 2020 - Julia
Sequential Tree Sampler for online phylogenetics
-
Updated
Mar 19, 2019 - C++
Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017
-
Updated
Sep 24, 2018 - Jupyter Notebook
pyABC: distributed, likelihood-free inference
python
parallel-computing
distributed-computing
sequential-monte-carlo
approximate-bayesian-computation
-
Updated
Jan 26, 2018
Sequential Monte Carlo sampler for PyMC2 models.
-
Updated
Apr 4, 2018 - Python
Bayesian structure learning and classification in decomposable graphical models
classification
predictive-modeling
log-linear-model
bayesian-statistics
gaussian-graphical-models
sequential-monte-carlo
markov-networks
decomposable-graphs
decomposable-graphical-models
particle-gibbs
covariance-selection
-
Updated
Nov 19, 2019 - Jupyter Notebook
R package for Bayesian inference with interacting particle systems
r
particle-filter
graphical-models
bayesian-inference
jags
mcmc-sampler
sequential-monte-carlo
inference-engine
bugs-language
biips
particle-mcmc
-
Updated
Apr 16, 2018 - R
Sequential Monte Carlo methods in Julia (experimental)
-
Updated
Aug 7, 2017 - Julia
A particle sampler library in Julia
-
Updated
Feb 8, 2020
R package serrsBayes
-
Updated
Jun 20, 2020 - R
Sequential Monte Carlo for Kinetic Prediction of Time-Varying Data Generating Processes
-
Updated
Jan 3, 2019
PhD dissertation: Methods for Automated Neuron Image Analysis candidate: Miroslav Radojevic Publisher: Erasmus University ISBN 978-94-6361-204-3
-
Updated
Jan 17, 2020 - TeX
Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation
-
Updated
Apr 10, 2020 - C++
A framework for particle identification and energy estimation using a sequential Monte Carlo method
-
Updated
Feb 25, 2019 - C++
-
Updated
Jul 23, 2018 - Python
A variation of Pacman arcade game designed to train Pacman agents that use sensors to locate and eat invisible ghosts with phenomenal efficiency. Used Joint Particle Filter algorithm in AI to get 30% optimized results.
bayesian-methods
monte-carlo-tree-search
sequential-monte-carlo
pacman-game
joint-particle-filter-algorithm
-
Updated
Jun 6, 2017 - Python
A collection of particle filters
-
Updated
Jun 4, 2020 - Julia
A Python package for likelihood-free inference (LFI) methods such as Approximate Bayesian Computation (ABC)
bayesian-optimization
hamiltonian-monte-carlo
python-package
sequential-monte-carlo
approximate-bayesian-computation
likelihood-free-inference
-
Updated
Feb 21, 2020 - Python
Workshop for A Corunha in MCTS
-
Updated
Feb 9, 2018 - Python
Compute partition functions.
statistical-mechanics
bayesian-inference
nested-sampling
markov-chain-monte-carlo
sequential-monte-carlo
-
Updated
Sep 22, 2019 - C++
-
Updated
Dec 13, 2019 - MATLAB
Matlab toolbox for Bayesian inference with interacting particle systems
matlab
octave
particle-filter
graphical-models
bayesian-inference
jags
mcmc-sampler
sequential-monte-carlo
inference-engine
bugs-language
biips
particle-mcmc
-
Updated
Mar 23, 2018 - MATLAB
Improve this page
Add a description, image, and links to the sequential-monte-carlo topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the sequential-monte-carlo topic, visit your repo's landing page and select "manage topics."
Firstly, thanks for contributing this, your efforts are appreciated!
I've been trying to test this library and struggled to make headway due to
Missing documentation (not self-contained)
Example code is often non-functional (missing imports/definitions that are critical to understanding it), missing arguments in the docstrings and completely missing docstrings (every function and c