bayesian-neural-networks topic
bnn
Bayesian Neural Network in PyTorch
awesome-normalizing-flows
Awesome resources on normalizing flows.
Dropouts
PyTorch Implementations of Dropout Variants
uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Turing.jl
Bayesian inference with probabilistic programming.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.