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bayes-by-backprop

Here are 12 public repositories matching this topic...

JavierAntoran / Bayesian-Neural-Networks

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

Updated Oct 20, 2023
Jupyter Notebook

kumar-shridhar / PyTorch-BayesianCNN

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

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

Updated Apr 19, 2024
Python

nitarshan / bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

pytorch variational-inference bayesian-neural-networks bayesian-deep-learning bayes-by-backprop

Updated Apr 12, 2022
Jupyter Notebook

konstantinos-p / Bayesian-Neural-Networks-Reading-List

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 details: "A Primer on Bayesian Neural Networks: Review and Debates"

deep-learning uncertainty uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation bayes-by-backprop sgld

Updated Nov 1, 2023

Feuermagier / Beyond_Deep_Ensembles

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

pytorch bayesian-inference swag bayesian-deep-learning natural-gradients bayes-by-backprop svgd out-of-distribution wilds deep-ensembles stein-variational-gradient-descent

Updated Oct 18, 2023
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lucadellalib / bdl-rul-svgd

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

python machine-learning deep-learning pytorch bayesian-inference variational-inference bayesian-neural-networks bayesian-deep-learning predictive-maintenance remaining-useful-life bayes-by-backprop c-mapss stein-variational-gradient-descent

Updated Feb 5, 2024
Python

mjpyeon / pytorch-bayes-by-backprop

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

deep-learning pytorch bayesian-deep-learning pytorch-implmention bayes-by-backprop

Updated Sep 10, 2018
Python

lucadellalib / bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

python machine-learning deep-learning pytorch bayesian-inference uncertainty-quantification variational-inference markov-chain-monte-carlo bayesian-neural-networks bayesian-deep-learning bayes-by-backprop stein-variational-gradient-descent

Updated Feb 24, 2023
Python

asajatovic / bayesian-deep-learning-text-classification

nlp deep-learning text-classification pytorch bayesian-deep-learning bayes-by-backprop

Updated Aug 11, 2019
Jupyter Notebook

FedericoVasile1 / bayesian-cnn

Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout

image-recognition convolutional-neural-networks bayesian-inference bayes variational-inference bayesian-neural-networks bayesian-deep-learning bayes-by-backprop monte-carlo-dropout

Updated Feb 22, 2021
Jupyter Notebook

fangyuan-ksgk / Bayesian-Neural-Network

Pytorch implementation of Bayes by Backprop from scratch.

machine-learning bayesian-neural-networks bayes-by-backprop

Updated Sep 13, 2021
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gozsoy / bayes-by-backprop

PyTorch implementation of the paper 'Weight Uncertainty in Neural Networks'

deep-learning pytorch bayesian-deep-learning bayes-by-backprop

Updated Feb 17, 2022
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