bayesian-neural-networks topic

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

IntelLabs

Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)

ykwon0407

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

kumar-shridhar

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

xwinxu

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

huawei-noah

Code for the paper Implicit Weight Uncertainty in Neural Networks

pawni

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

cambridge-mlg

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

HolyBayes

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

pomonam

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

xxxnell