variational-inference topic

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

dilinwang820

Mixed-curvature Variational Autoencoders (ICLR 2020)

oskopek

Bayesian dessert for Lasagne

ferrine

Tensorflow implementation of deep variational information bottleneck

AliLotfi92

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

akosiorek

Awesome resources on normalizing flows.

janosh

Collection of probabilistic models and inference algorithms

wiseodd

PyTorch Implementations of Dropout Variants

j-min

GPstuff - Gaussian process models for Bayesian analysis

gpstuff-dev

Deep universal probabilistic programming with Python and PyTorch

pyro-ppl