Scientific Software
Updated 10 months ago
GrainLearning
GrainLearning: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials - Published in JOSS (2024)
Political Science
Artificial Intelligence and Machine Learning
Sociology
Scientific Software · Peer-reviewed
Updated 10 months ago
genparticlefilters.jl
Building blocks for simple and advanced particle filtering in Gen.
Updated 10 months ago
pomp
R package for statistical inference using partially observed Markov processes
abc
b-spline
differential-equations
dynamical-systems
iterated-filtering
likelihood
likelihood-free
markov-chain-monte-carlo
markov-model
mathematical-modelling
measurement-error
particle-filter
r
sequential-monte-carlo
simulation-based-inference
sobol-sequence
state-space
statistical-inference
stochastic-processes
time-series
Updated 10 months ago
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