Topic: bayesian-deep-learning Goto Github

👇 Here are 102 public repositories matching this topic...

akashmondal1810 / uncertaintyestimation
bayesian-deep-learning,Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
User: akashmondal1810
uncertainty-estimation bayesian-deep-learning bayesian-inference monte-carlo-dropout deep-ensemble predictive-uncertainty xgboost probabilistic-models

armanihm / gdc
bayesian-deep-learning,Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
User: armanihm
graphneuralnetwork deep-learning deep-neural-networks gcn gcnn machine-learning bayesian-neural-networks bayesian-deep-learning graph-deep-learning graph-neural-networks

bayesgroup / variational-dropout-sparsifies-dnn
bayesian-deep-learning,Sparse Variational Dropout, ICML 2017
Organization: bayesgroup
icml compression bayesian-deep-learning

borchero / natural-posterior-network
bayesian-deep-learning,Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
User: borchero
Home Page: https://arxiv.org/abs/2105.04471
machine-learning deep-learning uncertainty-estimation bayesian-deep-learning pytorch

cambridge-mlg / dun
bayesian-deep-learning,Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Organization: cambridge-mlg
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

delta-lab-iitk / cada
bayesian-deep-learning,Attending to Discriminative Certainty for Domain Adaptation
Organization: delta-lab-iitk
Home Page: https://delta-lab-iitk.github.io/CADA/
adversarial-learning bayesian-deep-learning cvpr domain-adaptation unsupervised-domain-adaptation

dlr-rm / curvature
bayesian-deep-learning,Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
Organization: dlr-rm
bayesian-inference bayesian-optimization deep-learning bayesian-deep-learning laplace-approximation robotics pytorch

dtak / ocbnn-public
bayesian-deep-learning,General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
Organization: dtak
Home Page: https://arxiv.org/abs/2010.10969
bayesian-neural-networks bayesian-deep-learning bnns oc-bnn paper

ericmjl / bayesian-deep-learning-demystified
bayesian-deep-learning,In which I try to demystify the fundamental concepts behind Bayesian deep learning.
User: ericmjl
Home Page: https://ericmjl.github.io/bayesian-deep-learning-demystified/
bayesian bayesian-deep-learning deep-learning deep-neural-networks deeplearning fundamental-concepts

explainableml / probvlm
bayesian-deep-learning,ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Organization: explainableml
bayesian-deep-learning pytorch uncertainty-estimation uncertainty-quantification vision-language-model

explainableml / uncerguidedi2i
bayesian-deep-learning,Uncertainty Guided Progressive GANs for Medical Image Translation
Organization: explainableml
pytorch deep-learning gans uncertainty-estimation image-to-image-translation medical-imaging bayesian-deep-learning

feuermagier / beyond_deep_ensembles
bayesian-deep-learning,Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
User: feuermagier
bayes-by-backprop bayesian-deep-learning bayesian-inference deep-ensembles natural-gradients out-of-distribution pytorch stein-variational-gradient-descent svgd swag

fregu856 / evaluating_bdl
bayesian-deep-learning,Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
User: fregu856
Home Page: http://www.fregu856.com
bayesian-deep-learning uncertainty-estimation pytorch deep-learning computer-vision machine-learning autonomous-driving

frightera / medium_notebooks_english
bayesian-deep-learning,This repo contains the notebooks that is used in Medium posts.
User: frightera
tensorflow keras tensorflow-probability bayesian-deep-learning

gaosh / structured-bayesian-pruning-pytorch
bayesian-deep-learning,pytorch implementation of Structured Bayesian Pruning
User: gaosh
bayesian-deep-learning model-compression

gauthamkrishna-g / activeharnet
bayesian-deep-learning,ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
User: gauthamkrishna-g
Home Page: https://arxiv.org/abs/1906.00108
incremental-learning human-activity-recognition bayesian-active-learning bayesian-deep-learning fall-detection bayesian-neural-networks har acquisition-functions

giannifranchi / lp_bnn
bayesian-deep-learning,This repository contains an official implementation of LPBNN.
User: giannifranchi
bayesian-deep-learning deep-learning pytorch resnet uncertainty-estimation uncertainty-quantification

google-deepmind / kfac-jax
bayesian-deep-learning,Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Organization: google-deepmind
machine-learning optimization bayesian-deep-learning

intellabs / avuc
bayesian-deep-learning,Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
Organization: intellabs
uncertainty-calibration bayesian-deep-learning uncertainty-estimation model-calibration deep-learning uncertainty-quantification variational-inference uncertainty-neural-networks probabilistic-neural-network probabilistic-deep-learning

intellabs / bayesian-torch
bayesian-deep-learning,A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Organization: intellabs
bayesian-deep-learning bayesian-neural-networks stochastic-variational-inference uncertainty-estimation pytorch bayesian-layers deep-learning bayesian-inference uncertainty-quantification uncertainty-neural-networks

ivannz / mlss2019-bayesian-deep-learning
bayesian-deep-learning,MLSS2019 Tutorial on Bayesian Deep Learning
User: ivannz
bayesian-deep-learning active-learning variational-bayes mlss2019-moscow

js05212 / bayesiandeeplearning-survey
bayesian-deep-learning,Bayesian Deep Learning: A Survey
User: js05212
bayesian-deep-learning bdl variational-autoencoders survey arxiv bayesian neural-networks deep-learning machine-learning

js05212 / collaborativedeeplearning-tensorflow
bayesian-deep-learning,Officially unofficial TensorFlow code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
User: js05212
deep-learning recommender-system recommender-systems collaborative-deep-learning bayesian-deep-learning collaborative-filtering matrix-factorization deep-matrix-factorization

juliaepi / mathepideeplearning
bayesian-deep-learning,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.
Organization: juliaepi
Home Page: https://juliaepi.github.io/MathEpiDeepLearning/
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

juliatrustworthyai / laplaceredux.jl
bayesian-deep-learning,Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
Organization: juliatrustworthyai
Home Page: https://juliatrustworthyai.github.io/LaplaceRedux.jl/
bayesian-deep-learning julia laplace-approximation machine-learning

junyuchen245 / transmorph_transformer_for_medical_image_registration
bayesian-deep-learning,TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
User: junyuchen245
transformer vision-transformer image-registration bayesian-deep-learning image-alignment deep-learning diffeomorphism swin-transformer

kumar-shridhar / master-thesis-bayesiancnn
bayesian-deep-learning,Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
User: kumar-shridhar
bayesian-inference bayesian-neural-networks convolutional-neural-networks super-resolution generative-adversarial-network bayesian-deep-learning

kumar-shridhar / pytorch-bayesiancnn
bayesian-deep-learning,Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
User: kumar-shridhar
convolutional-neural-networks bayesian-network bayesian-convnets bayes-by-backprop pytorch python pytorch-cnn bayesian-neural-networks bayesian-deep-learning bayesian-inference

kyle-dorman / bayesian-neural-network-blogpost
bayesian-deep-learning,Building a Bayesian deep learning classifier
User: kyle-dorman
Home Page: https://medium.com/towards-data-science/building-a-bayesian-deep-learning-classifier-ece1845bc09
bayesian-deep-learning deep-learning keras

langnico / gedi-bdl
bayesian-deep-learning,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".
User: langnico
cnn lidar gedi waveform deep-learning 1d-convolution 1d-cnn convolutional-neural-networks bayesian-deep-learning deep-ensembles

lucadellalib / bayesian-deep-rul
bayesian-deep-learning,Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
User: lucadellalib
bayesian-deep-learning c-mapss condition-based-maintenance neural-network remaining-useful-life uncertainty

lucadellalib / bdl-rul-svgd
bayesian-deep-learning,Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
User: lucadellalib
bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks c-mapss deep-learning machine-learning predictive-maintenance python pytorch

makora9143 / pytorch-convcnp
bayesian-deep-learning,A PyTorch Implementation of Convolutional Conditional Neural Process.
User: makora9143
pytorch pytorch-implementation deeplearning bayesian-deep-learning deep-generative-models

mjpyeon / pytorch-bayes-by-backprop
bayesian-deep-learning,PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)
User: mjpyeon
pytorch bayesian-deep-learning bayes-by-backprop deep-learning pytorch-implmention

necludov / group-sparsity-sbp
bayesian-deep-learning,Structured Bayesian Pruning, NIPS 2017
User: necludov
nips-2017 bayesian-deep-learning

nitarshan / bayes-by-backprop
bayesian-deep-learning,PyTorch implementation of "Weight Uncertainty in Neural Networks"
User: nitarshan
Home Page: https://www.nitarshan.com/bayes-by-backprop/
pytorch bayes-by-backprop bayesian-deep-learning bayesian-neural-networks variational-inference

oatml / bdl-benchmarks
bayesian-deep-learning,Bayesian Deep Learning Benchmarks
Organization: oatml
bayesian-deep-learning benchmark-framework diabetic-retinopathy

obiyoag / bayeseg
bayesian-deep-learning,[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
User: obiyoag
bayesian-deep-learning image-segmentation model-generalization statistical-modelling variational-inference

piesposito / blitz-bayesian-deep-learning
bayesian-deep-learning,A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
User: piesposito
pytorch pytorch-implementation pytorch-tutorial bayesian-layers bayesian-deep-learning bayesian-neural-networks

reml-lab / ursabench
bayesian-deep-learning,Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"
Organization: reml-lab
pytorch bayesian-inference deep-learning bayesian-deep-learning

samsunglabs / deep-weight-prior
bayesian-deep-learning,The Deep Weight Prior, ICLR 2019
Organization: samsunglabs
iclr bayesian-deep-learning prior-knowledge

shangqigao / bayeseg
bayesian-deep-learning,The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
User: shangqigao
bayesian-deep-learning cardiac-segmentation image-decomposition image-segmentation model-generalization statistical-modeling variational-inference

shreyavshetty / bayesiandeeplearning
bayesian-deep-learning,Overview of Bayesian Deep Learning
User: shreyavshetty
bayesian-deep-learning papers bayesian-inference segnet segmentation uncertainty

sungyubkim / mcdo
bayesian-deep-learning,A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
User: sungyubkim
bayesian-deep-learning bayesian-neural-networks dropout monte-carlo-dropout pytorch uncertainty-neural-networks variational-dropout variational-inference

supernnova / supernnova
bayesian-deep-learning,Open Source Photometric classification https://supernnova.readthedocs.io
Organization: supernnova
cosmology supernova deep-learning arxiv reproducible-science recurrent-neural-networks pandas python pytorch bayesian-neural-networks

thudzj / ella
bayesian-deep-learning,Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
User: thudzj
bayesian-deep-learning laplace-approximation pytorch uncertainty-quantification

thudzj / scalablebdl
bayesian-deep-learning,Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
User: thudzj
Home Page: https://thudzj.github.io/ScalableBDL/
bayesian-deep-learning bayesian-neural-networks fine-tuning uncertainty-quantification adversarial-detection ood-detection

uncertainty-toolbox / uncertainty-toolbox
bayesian-deep-learning,Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Organization: uncertainty-toolbox
Home Page: https://uncertainty-toolbox.github.io
uncertainty uncertainty-quantification uncertainty-estimation uncertainty-metrics calibration sharpness uncertainty-toolbox metrics visualizations visualization

xxxnell / spatial-smoothing
bayesian-deep-learning,(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
User: xxxnell
Home Page: https://arxiv.org/abs/2105.12639
uncertainty uncertainty-estimation uncertainty-quantification robustness neural-network bayesian-neural-networks bayesian-deep-learning pytorch

yingzhenli / dropout_bbalpha
bayesian-deep-learning,Implementations of the ICML 2017 paper (with Yarin Gal)
User: yingzhenli
deep-learning bayesian bayesian-deep-learning approximate-inference