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bayesian-deep-learning

Here are 106 public repositories matching this topic...

uncertainty-toolbox

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 Jul 9, 2024
Python

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

piEsposito / blitz-bayesian-deep-learning

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 Sep 25, 2023
Python

OATML / bdl-benchmarks

Bayesian Deep Learning Benchmarks

benchmark-framework bayesian-deep-learning diabetic-retinopathy

Updated Mar 24, 2023
Jupyter Notebook

IntelLabs / bayesian-torch

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 Feb 10, 2024
Python

js05212 / BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

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

Updated Oct 23, 2024

kyle-dorman / bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

deep-learning keras bayesian-deep-learning

Updated Oct 30, 2017
Jupyter Notebook

junyuchen245 / TransMorph_Transformer_for_Medical_Image_Registration

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

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

Updated Sep 27, 2024
Python

variational-dropout-sparsifies-dnn

bayesgroup / variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

compression icml bayesian-deep-learning

Updated May 20, 2020
Jupyter Notebook

kumar-shridhar / Master-Thesis-BayesianCNN

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

google-deepmind / kfac-jax

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

machine-learning optimization bayesian-deep-learning

Updated Nov 5, 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

evaluating_bdl

fregu856 / evaluating_bdl

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

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

ivannz / mlss2019-bayesian-deep-learning

MLSS2019 Tutorial on Bayesian Deep Learning

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

Updated Dec 31, 2019
Jupyter Notebook

obiyoag / BayeSeg

[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"

image-segmentation variational-inference bayesian-deep-learning statistical-modelling model-generalization

Updated Jul 2, 2024
Python

borchero / natural-posterior-network

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 5, 2023
Python

xxxnell / spatial-smoothing

(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

necludov / group-sparsity-sbp

Structured Bayesian Pruning, NIPS 2017

nips-2017 bayesian-deep-learning

Updated Jul 10, 2020
Jupyter Notebook

cambridge-mlg / DUN

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 Oct 3, 2023
Jupyter Notebook

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