posterior-probability topic
bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
variational_dropout
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
gauss-naive-bayes
Gauss Naive Bayes in Python From Scratch.
causact
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
MPLNClust
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
ABCdeZ.jl
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.