bayesian-deep-learning

There are 45 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
bayesian-deep-learning bayesian-neural-networks calibration metrics predictive-uncertainty recalibration scoring-rules sharpness toolbox uncertainty uncertainty-calibration uncertainty-estimation uncertainty-metrics uncertainty-quantification uncertainty-toolbox visualization visualizations
Language:Python 1798
kumar-shridhar / PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Language:Python 1420
piEsposito / blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
bayesian-deep-learning bayesian-layers bayesian-neural-networks pytorch pytorch-implementation pytorch-tutorial
Language:Python 922
OATML / bdl-benchmarks
Bayesian Deep Learning Benchmarks
bayesian-deep-learning benchmark-framework diabetic-retinopathy
Language:Jupyter Notebook 661
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-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification
Language:Python 509
js05212 / BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
arxiv bayesian bayesian-deep-learning bdl deep-learning machine-learning neural-networks survey variational-autoencoders
497
kyle-dorman / bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
bayesian-deep-learning deep-learning keras
Language:Jupyter Notebook 486
junyuchen245 / TransMorph_Transformer_for_Medical_Image_Registration
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
transformer vision-transformer image-registration bayesian-deep-learning image-alignment deep-learning diffeomorphism swin-transformer
Language:Python 431
variational-dropout-sparsifies-dnn
bayesgroup / variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017
bayesian-deep-learning compression icml
Language:Jupyter Notebook 309
kumar-shridhar / Master-Thesis-BayesianCNN
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
bayesian-deep-learning bayesian-inference bayesian-neural-networks convolutional-neural-networks generative-adversarial-network super-resolution
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 231
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 170
evaluating_bdl
fregu856 / evaluating_bdl
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
autonomous-driving bayesian-deep-learning computer-vision deep-learning machine-learning pytorch uncertainty-estimation
Language:Python 131
ericmjl / bayesian-deep-learning-demystified
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
bayesian bayesian-deep-learning deep-learning deep-neural-networks deeplearning fundamental-concepts
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 90
borchero / natural-posterior-network
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
bayesian-deep-learning deep-learning machine-learning pytorch uncertainty-estimation
Language:Python 76
xxxnell / spatial-smoothing
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
bayesian-deep-learning bayesian-neural-networks neural-network pytorch robustness uncertainty uncertainty-estimation uncertainty-quantification
Language:Python 76
necludov / group-sparsity-sbp
Structured Bayesian Pruning, NIPS 2017
bayesian-deep-learning nips-2017
Language:Jupyter Notebook 73
obiyoag / BayeSeg
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
bayesian-deep-learning image-segmentation model-generalization statistical-modelling variational-inference
Language:Python 73
cambridge-mlg / DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
bayesian-deep-learning bayesian-inference bayesian-neural-networks deep-learning expectation-maximization learnt-depth machine-learning network-depths neural-architecture-search neural-networks probabilistic-inference probabilistic-neural-network pytorch reproducible-paper reproducible-research robustness uncertainty uncertainty-neural-networks uncertainty-quantification variational-inference
Language:Jupyter Notebook 72
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".
1d-cnn 1d-convolution bayesian-deep-learning cnn convolutional-neural-networks deep-ensembles deep-learning gedi lidar regression uncertainty-estimation waveform
Language:Python 61
sungyubkim / MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
bayesian-deep-learning bayesian-neural-networks dropout monte-carlo-dropout pytorch uncertainty-neural-networks variational-dropout variational-inference
Language:Jupyter Notebook 55
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 53
IntelLabs / AVUC
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
bayesian-deep-learning deep-learning model-calibration probabilistic-deep-learning probabilistic-neural-network uncertainty-calibration uncertainty-estimation uncertainty-neural-networks uncertainty-quantification variational-inference
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 50
makora9143 / pytorch-convcnp
A PyTorch Implementation of Convolutional Conditional Neural Process.
pytorch pytorch-implementation deeplearning bayesian-deep-learning deep-generative-models
Language:Jupyter Notebook 45
SamsungLabs / deep-weight-prior
The Deep Weight Prior, ICLR 2019
iclr bayesian-deep-learning 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 39
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 38
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 34
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 30
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 30
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 30
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

bayesian-deep-learning

uncertainty-toolbox / uncertainty-toolbox

kumar-shridhar / PyTorch-BayesianCNN

piEsposito / blitz-bayesian-deep-learning

OATML / bdl-benchmarks

IntelLabs / bayesian-torch

js05212 / BayesianDeepLearning-Survey

kyle-dorman / bayesian-neural-network-blogpost

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

xxxnell / spatial-smoothing

necludov / group-sparsity-sbp

obiyoag / BayeSeg

cambridge-mlg / DUN

langnico / GEDI-BDL

sungyubkim / MCDO

armanihm / GDC

IntelLabs / AVUC

ExplainableML / UncerGuidedI2I

makora9143 / pytorch-convcnp

SamsungLabs / deep-weight-prior

giannifranchi / LP_BNN

YingzhenLi / Dropout_BBalpha

dtak / ocbnn-public

JuliaTrustworthyAI / LaplaceRedux.jl

shangqigao / BayeSeg

DLR-RM / curvature

supernnova / SuperNNova

thudzj / ScalableBDL

JuliaEpi / MathEpiDeepLearning