bayesian-deep-learning

There are 47 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 1873
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 1494
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 951
OATML / bdl-benchmarks
Bayesian Deep Learning Benchmarks
bayesian-deep-learning benchmark-framework diabetic-retinopathy
Language:Jupyter Notebook 670
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 573
js05212 / BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
bayesian-deep-learning bdl variational-autoencoders survey arxiv bayesian neural-networks deep-learning machine-learning
512
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 506
kyle-dorman / bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
bayesian-deep-learning deep-learning keras
Language:Jupyter Notebook 487
variational-dropout-sparsifies-dnn
bayesgroup / variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017
icml compression bayesian-deep-learning
Language:Jupyter Notebook 313
google-deepmind / kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
machine-learning optimization bayesian-deep-learning
Language:Python 265
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 265
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 176
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 131
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 123
ivannz / mlss2019-bayesian-deep-learning
MLSS2019 Tutorial on Bayesian Deep Learning
bayesian-deep-learning active-learning variational-bayes mlss2019-moscow
Language:Jupyter Notebook 91
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 85
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 79
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 78
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 75
necludov / group-sparsity-sbp
Structured Bayesian Pruning, NIPS 2017
nips-2017 bayesian-deep-learning
Language:Jupyter Notebook 73
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 62
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 57
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 56
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 55
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 52
makora9143 / pytorch-convcnp
A PyTorch Implementation of Convolutional Conditional Neural Process.
pytorch pytorch-implementation deeplearning bayesian-deep-learning deep-generative-models
Language:Jupyter Notebook 49
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 45
SamsungLabs / deep-weight-prior
The Deep Weight Prior, ICLR 2019
iclr bayesian-deep-learning prior-knowledge
Language:Jupyter Notebook 44
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 40
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
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
YingzhenLi / Dropout_BBalpha
Implementations of the ICML 2017 paper (with Yarin Gal)
deep-learning bayesian bayesian-deep-learning approximate-inference
Language:Python 38
ExplainableML / ProbVLM
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
bayesian-deep-learning pytorch uncertainty-estimation uncertainty-quantification vision-language-model
Language:Python 36
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 31
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 31
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 31

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

junyuchen245 / TransMorph_Transformer_for_Medical_Image_Registration

kyle-dorman / bayesian-neural-network-blogpost

bayesgroup / variational-dropout-sparsifies-dnn

google-deepmind / kfac-jax

kumar-shridhar / Master-Thesis-BayesianCNN

nitarshan / bayes-by-backprop

fregu856 / evaluating_bdl

ericmjl / bayesian-deep-learning-demystified

ivannz / mlss2019-bayesian-deep-learning

obiyoag / BayeSeg

borchero / natural-posterior-network

xxxnell / spatial-smoothing

cambridge-mlg / DUN

necludov / group-sparsity-sbp

langnico / GEDI-BDL

armanihm / GDC

sungyubkim / MCDO

IntelLabs / AVUC

ExplainableML / UncerGuidedI2I

makora9143 / pytorch-convcnp

JuliaTrustworthyAI / LaplaceRedux.jl

SamsungLabs / deep-weight-prior

shangqigao / BayeSeg

giannifranchi / LP_BNN

dtak / ocbnn-public

YingzhenLi / Dropout_BBalpha

ExplainableML / ProbVLM

JuliaEpi / MathEpiDeepLearning

supernnova / SuperNNova

thudzj / ScalableBDL