bayesian-deep-learning

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uncertainty-toolbox / uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

visualization metrics scoring-rules toolbox uncertainty calibration visualizations uncertainty-quantification uncertainty-estimation bayesian-neural-networks bayesian-deep-learning sharpness predictive-uncertainty recalibration uncertainty-calibration uncertainty-metrics uncertainty-toolbox

Updated Jan 18, 2023
Python

kumar-shridhar / PyTorch-BayesianCNN

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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 Feb 5, 2021
Python

piEsposito / blitz-bayesian-deep-learning

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A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

pytorch bayesian-neural-networks pytorch-tutorial bayesian-deep-learning pytorch-implementation bayesian-layers

Updated Jun 9, 2022
Python

OATML / bdl-benchmarks

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Bayesian Deep Learning Benchmarks

benchmark-framework bayesian-deep-learning diabetic-retinopathy

Updated Nov 21, 2022
Jupyter Notebook

kyle-dorman / bayesian-neural-network-blogpost

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Building a Bayesian deep learning classifier

deep-learning keras bayesian-deep-learning

Updated Oct 30, 2017
Jupyter Notebook

js05212 / BayesianDeepLearning-Survey

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Bayesian Deep Learning: A Survey

machine-learning deep-learning survey neural-networks bayesian arxiv bayesian-deep-learning variational-autoencoders bdl

Updated Feb 28, 2023

bayesgroup / variational-dropout-sparsifies-dnn

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Sparse Variational Dropout, ICML 2017

compression icml bayesian-deep-learning

Updated May 20, 2020
Jupyter Notebook

kumar-shridhar / Master-Thesis-BayesianCNN

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Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

generative-adversarial-network convolutional-neural-networks bayesian-inference super-resolution bayesian-neural-networks bayesian-deep-learning

Updated Jul 1, 2019
TeX

IntelLabs / bayesian-torch

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

deep-neural-networks deep-learning pytorch uncertainty-neural-networks bayesian-inference uncertainty-quantification uncertainty-estimation bayesian-neural-networks bayesian-deep-learning stochastic-variational-inference bayesian-layers

Updated Jan 17, 2023
Python

junyuchen245 / TransMorph_Transformer_for_Medical_Image_Registration

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TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

deep-learning transformer diffeomorphism image-registration bayesian-deep-learning image-alignment vision-transformer swin-transformer

Updated Oct 19, 2022
Python

nitarshan / bayes-by-backprop

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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

fregu856 / evaluating_bdl

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Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

machine-learning computer-vision deep-learning pytorch autonomous-driving uncertainty-estimation bayesian-deep-learning

Updated Jul 4, 2020
Python

ericmjl / bayesian-deep-learning-demystified

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In which I try to demystify the fundamental concepts behind Bayesian deep learning.

deep-neural-networks deep-learning bayesian deeplearning bayesian-deep-learning fundamental-concepts

Updated Nov 29, 2017
CSS

deepmind / kfac-jax

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Second Order Optimization and Curvature Estimation with K-FAC in JAX.

machine-learning optimization bayesian-deep-learning

Updated Mar 11, 2023
Python

ivannz / mlss2019-bayesian-deep-learning

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MLSS2019 Tutorial on Bayesian Deep Learning

active-learning variational-bayes bayesian-deep-learning mlss2019-moscow

Updated Dec 31, 2019
Jupyter Notebook

necludov / group-sparsity-sbp

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Structured Bayesian Pruning, NIPS 2017

nips-2017 bayesian-deep-learning

Updated Jul 10, 2020
Jupyter Notebook

xxxnell / spatial-smoothing

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

neural-network pytorch uncertainty uncertainty-quantification uncertainty-estimation bayesian-neural-networks robustness bayesian-deep-learning

Updated Jul 15, 2022
Python

cambridge-mlg / DUN

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

machine-learning deep-learning reproducible-research pytorch uncertainty neural-networks expectation-maximization uncertainty-neural-networks bayesian-inference uncertainty-quantification variational-inference bayesian-neural-networks robustness neural-architecture-search bayesian-deep-learning probabilistic-inference reproducible-paper probabilistic-neural-network learnt-depth network-depths

Updated Nov 22, 2022
Jupyter Notebook

borchero / natural-posterior-network

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Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

machine-learning deep-learning pytorch uncertainty-estimation bayesian-deep-learning

Updated Apr 22, 2022
Python

SamsungLabs / deep-weight-prior

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The Deep Weight Prior, ICLR 2019

iclr bayesian-deep-learning prior-knowledge

Updated Apr 30, 2021
Jupyter Notebook

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