variational-inference topic
adaptive-f-divergence
A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
mvae
Mixed-curvature Variational Autoencoders (ICLR 2020)
gelato
Bayesian dessert for Lasagne
Deep_Variational_Information_Bottleneck
Tensorflow implementation of deep variational information bottleneck
sqair
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
awesome-normalizing-flows
Awesome resources on normalizing flows.
probabilistic-models
Collection of probabilistic models and inference algorithms
Dropouts
PyTorch Implementations of Dropout Variants
gpstuff
GPstuff - Gaussian process models for Bayesian analysis
pyro
Deep universal probabilistic programming with Python and PyTorch