bayesian-deep-learning

There are 43 repositories under bayesian-deep-learning topic.

uncertainty-toolbox
uncertainty-toolbox / uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
uncertainty uncertainty-quantification uncertainty-estimation uncertainty-metrics calibration sharpness uncertainty-toolbox metrics visualizations visualization recalibration predictive-uncertainty scoring-rules uncertainty-calibration toolbox bayesian-neural-networks bayesian-deep-learning
Language:Python 1730
kumar-shridhar / PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
convolutional-neural-networks bayesian-network bayesian-convnets bayes-by-backprop pytorch python pytorch-cnn bayesian-neural-networks bayesian-deep-learning bayesian-inference bayesian-statistics image-recognition aleatoric-uncertainties bayes bayesian-networks variational-inference variational-bayes
Language:Python 1362
piEsposito / blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
pytorch pytorch-implementation pytorch-tutorial bayesian-layers bayesian-deep-learning bayesian-neural-networks
Language:Python 892
OATML / bdl-benchmarks
Bayesian Deep Learning Benchmarks
bayesian-deep-learning benchmark-framework diabetic-retinopathy
Language:Jupyter Notebook 658
js05212 / BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
bayesian-deep-learning bdl variational-autoencoders survey arxiv bayesian neural-networks deep-learning machine-learning
494
kyle-dorman / bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
bayesian-deep-learning deep-learning keras
Language:Jupyter Notebook 477
IntelLabs / bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
bayesian-deep-learning bayesian-neural-networks stochastic-variational-inference uncertainty-estimation pytorch bayesian-layers deep-learning bayesian-inference uncertainty-quantification uncertainty-neural-networks deep-neural-networks
Language:Python 463
junyuchen245 / TransMorph_Transformer_for_Medical_Image_Registration
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
bayesian-deep-learning deep-learning diffeomorphism image-alignment image-registration swin-transformer transformer vision-transformer
Language:Python 388
variational-dropout-sparsifies-dnn
bayesgroup / variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017
icml compression bayesian-deep-learning
Language:Jupyter Notebook 306
kumar-shridhar / Master-Thesis-BayesianCNN
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
bayesian-inference bayesian-neural-networks convolutional-neural-networks super-resolution generative-adversarial-network bayesian-deep-learning
Language:TeX 262
google-deepmind / kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
bayesian-deep-learning machine-learning optimization
Language:Python 202
nitarshan / bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
pytorch bayes-by-backprop bayesian-deep-learning bayesian-neural-networks variational-inference
Language:Jupyter Notebook 165
evaluating_bdl
fregu856 / evaluating_bdl
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
bayesian-deep-learning uncertainty-estimation pytorch deep-learning computer-vision machine-learning autonomous-driving
Language:Python 129
ericmjl / bayesian-deep-learning-demystified
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
bayesian-deep-learning fundamental-concepts bayesian deep-learning deep-neural-networks deeplearning
Language:CSS 122
ivannz / mlss2019-bayesian-deep-learning
MLSS2019 Tutorial on Bayesian Deep Learning
bayesian-deep-learning active-learning variational-bayes mlss2019-moscow
Language:Jupyter Notebook 89
borchero / natural-posterior-network
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
machine-learning deep-learning uncertainty-estimation bayesian-deep-learning pytorch
Language:Python 74
necludov / group-sparsity-sbp
Structured Bayesian Pruning, NIPS 2017
bayesian-deep-learning nips-2017
Language:Jupyter Notebook 73
xxxnell / spatial-smoothing
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
uncertainty uncertainty-estimation uncertainty-quantification robustness neural-network bayesian-neural-networks bayesian-deep-learning pytorch
Language:Python 73
cambridge-mlg / DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
bayesian-inference variational-inference bayesian-neural-networks bayesian-deep-learning reproducible-research reproducible-paper network-depths uncertainty robustness neural-architecture-search machine-learning deep-learning neural-networks uncertainty-neural-networks uncertainty-quantification expectation-maximization probabilistic-inference probabilistic-neural-network learnt-depth pytorch
Language:Jupyter Notebook 71
GEDI-BDL
langnico / GEDI-BDL
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
cnn lidar gedi waveform deep-learning 1d-convolution 1d-cnn convolutional-neural-networks bayesian-deep-learning deep-ensembles uncertainty-estimation regression
Language:Python 58
obiyoag / BayeSeg
BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability
bayesian-deep-learning image-segmentation model-generalization statistical-modelling variational-inference
Language:Python 56
sungyubkim / MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
bayesian-neural-networks bayesian-deep-learning variational-inference dropout variational-dropout uncertainty-neural-networks pytorch monte-carlo-dropout
Language:Jupyter Notebook 53
armanihm / GDC
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
graphneuralnetwork deep-learning deep-neural-networks gcn gcnn machine-learning bayesian-neural-networks bayesian-deep-learning graph-deep-learning graph-neural-networks graph-neural-network graph-convolutional-networks
Language:Python 51
ExplainableML / UncerGuidedI2I
Uncertainty Guided Progressive GANs for Medical Image Translation
pytorch deep-learning gans uncertainty-estimation image-to-image-translation medical-imaging bayesian-deep-learning
Language:Jupyter Notebook 49
IntelLabs / AVUC
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
uncertainty-calibration bayesian-deep-learning uncertainty-estimation model-calibration deep-learning uncertainty-quantification variational-inference uncertainty-neural-networks probabilistic-neural-network probabilistic-deep-learning
Language:Python 48
makora9143 / pytorch-convcnp
A PyTorch Implementation of Convolutional Conditional Neural Process.
pytorch pytorch-implementation deeplearning bayesian-deep-learning deep-generative-models
Language:Jupyter Notebook 44
SamsungLabs / deep-weight-prior
The Deep Weight Prior, ICLR 2019
bayesian-deep-learning iclr prior-knowledge
Language:Jupyter Notebook 44
giannifranchi / LP_BNN
This repository contains an official implementation of LPBNN.
deep-learning pytorch uncertainty-quantification uncertainty-estimation bayesian-deep-learning resnet
Language:Python 40
YingzhenLi / Dropout_BBalpha
Implementations of the ICML 2017 paper (with Yarin Gal)
approximate-inference bayesian bayesian-deep-learning deep-learning
Language:Python 39
ocbnn-public
dtak / ocbnn-public
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
bayesian-neural-networks bayesian-deep-learning bnns oc-bnn paper
Language:Python 38
JuliaTrustworthyAI / LaplaceRedux.jl
Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
bayesian-deep-learning julia laplace-approximation machine-learning
Language:Julia 34
shangqigao / BayeSeg
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
bayesian-deep-learning cardiac-segmentation image-decomposition image-segmentation model-generalization statistical-modeling variational-inference
Language:Python 32
JuliaEpi / MathEpiDeepLearning
Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.
epidemiological-models mathematical-epidemiology universal-differential-equations neural-differential-equations physics-informed-neural-networks data-driven-model bayesian-inference bayesian-deep-learning probabilistic-machine-learning mathematical-biology machine-learning data-science deep-learning statistics data-analysis time-series time-series-analysis julia scientific-machine-learning covid19-data
Language:JavaScript 29
thudzj / ScalableBDL
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
bayesian-deep-learning bayesian-neural-networks fine-tuning uncertainty-quantification adversarial-detection ood-detection
Language:Python 29
DLR-RM / curvature
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
bayesian-inference bayesian-optimization deep-learning bayesian-deep-learning laplace-approximation robotics pytorch
Language:Python 28
supernnova / SuperNNova
Open Source Photometric classification https://supernnova.readthedocs.io
cosmology supernova deep-learning arxiv reproducible-science recurrent-neural-networks pandas python pytorch bayesian-neural-networks bayesian-deep-learning bayesian-statistics
Language:Python 28

bayesian-deep-learning

uncertainty-toolbox / uncertainty-toolbox

kumar-shridhar / PyTorch-BayesianCNN

piEsposito / blitz-bayesian-deep-learning

OATML / bdl-benchmarks

js05212 / BayesianDeepLearning-Survey

kyle-dorman / bayesian-neural-network-blogpost

IntelLabs / bayesian-torch

junyuchen245 / TransMorph_Transformer_for_Medical_Image_Registration

bayesgroup / variational-dropout-sparsifies-dnn

kumar-shridhar / Master-Thesis-BayesianCNN

google-deepmind / kfac-jax

nitarshan / bayes-by-backprop

fregu856 / evaluating_bdl

ericmjl / bayesian-deep-learning-demystified

ivannz / mlss2019-bayesian-deep-learning

borchero / natural-posterior-network

necludov / group-sparsity-sbp

xxxnell / spatial-smoothing

cambridge-mlg / DUN

langnico / GEDI-BDL

obiyoag / BayeSeg

sungyubkim / MCDO

armanihm / GDC

ExplainableML / UncerGuidedI2I

IntelLabs / AVUC

makora9143 / pytorch-convcnp

SamsungLabs / deep-weight-prior

giannifranchi / LP_BNN

YingzhenLi / Dropout_BBalpha

dtak / ocbnn-public

JuliaTrustworthyAI / LaplaceRedux.jl

shangqigao / BayeSeg

JuliaEpi / MathEpiDeepLearning

thudzj / ScalableBDL

DLR-RM / curvature

supernnova / SuperNNova