compops/lic-thesis
Source code and data for examples in thesis "Sequential Monte Carlo for inference in nonlinear state space models"
Public GitHub Catalog
Discovered Sep 27, 2026
compops / smc-toyexample
Sequential Monte Carlo methods (particle filtering/smoothing) for a toy problem
About this discovery
This repository is cataloged as part of our automated global GitHub synchronization. Full telemetry, velocity snapshots, and code summaries are scheduled for continuous enrichment.
#8874508GitHub System ID
compopsOrganization / User
PublicVisibility
ActiveCatalog Status
More from compops
compops/pmh-stco2015
Particle Metropolis-Hastings using gradient and Hessian information
compops/gpo-ifac2014
Particle filter-based Gaussian process optimisation for parameter inference
compops/ml-examples
Implementations from a graduate course following "Pattern Recognition and Machine Learning) written by Bishop and published in 2006.