variational-bayes topic

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

kumar-shridhar

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

snakeztc

Deep probabilistic analysis of single-cell and spatial omics data

scverse

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

matthewvowels1

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

dsteinberg

High-performance reactive message-passing based Bayesian inference engine

ReactiveBayes

MLSS2019 Tutorial on Bayesian Deep Learning

ivannz

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

fabio-deep

Single-cell Hierarchical Poisson Factorization

simslab

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

ivannz