bayes-by-backprop 开源项目推荐（14 个）

JavierAntoran /Bayesian-Neural-Networks

Pytorch实现Bayes By Backprop、MC Dropout、SGLD、Local Reparamentrization Trick、KF-Lapplace、SG-HMC等

kumar-shridhar /PyTorch-BayesianCNN

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

nitarshan /bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

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"

lucadellalib /bdl-rul-svgd

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

Feuermagier /Beyond_Deep_Ensembles

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

mjpyeon /pytorch-bayes-by-backprop

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

lucadellalib /bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

asajatovic /bayesian-deep-learning-text-classification

该项目在 GitHub 上没有填写描述

torchbayesian /torchbayesian

PyTorch-native Bayesian neural networks for uncertainty quantification in deep learning

FedericoVasile1 /bayesian-cnn

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

fangyuan-ksgk /Bayesian-Neural-Network

Pytorch implementation of Bayes by Backprop from scratch.

gozsoy /bayes-by-backprop

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

ANDERSON482 /bayesi

📊 Explore Bayesian statistics and econometrics with training materials designed for quantitative analysts and grad students in machine learning.