Hi,
I’m about to embark on a project doing distributed variational inference on (Bayesian) deep learning. What are the existing resources for Bayesian deep learning in pytorch – or more broadly in python at the moment (I’m only aware of ZhuSuan, https://github.com/thu-ml/zhusuan 25, which is designed on top of tensorflow)?