bayesian-statistics topic

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

kumar-shridhar

RStan, the R interface to Stan

stan-dev

Probabilistic programming via source rewriting

cscherrer

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

ohirose

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...

BoltzmannEntropy

rstanarm R package for Bayesian applied regression modeling

stan-dev

shinystan R package and ShinyStan GUI

stan-dev

Statistical Rethinking with PyTorch and Pyro

fehiepsi

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

uber

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

tpapp