Bayesian inference with probabilistic programming.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Loca...
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantif...
Bayesian Convolutional Neural Network with Variational Inference based o...
Awesome resources on normalizing flows.
A simple and extensible library to create Bayesian Neural Network layers...
A library for Bayesian neural network layers and uncertainty estimation ...
Master Thesis on Bayesian Convolutional Neural Network using Variational...
Gaussian Processes for Experimental Sciences
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Diffe...
PyTorch implementation of "Weight Uncertainty in Neural Networks"
PyTorch Implementations of Dropout Variants
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Net...
Bayesian Neural Network in PyTorch