bayes-by-backprop topic

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

JavierAntoran

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

kumar-shridhar

PyTorch implementation of "Weight Uncertainty in Neural Networks"

nitarshan

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More...

konstantinos-p

PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)

mjpyeon

Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

Feuermagier

Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent

lucadellalib