bayesian-deep-learning

Here are 55 public repositories matching this topic...

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 Mar 5, 2025
Python

kumar-shridhar / PyTorch-BayesianCNN

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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

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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

IntelLabs / bayesian-torch

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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 Jan 31, 2025
Python

junyuchen245 / TransMorph_Transformer_for_Medical_Image_Registration

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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

google-deepmind / kfac-jax

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

machine-learning optimization bayesian-deep-learning

Updated Mar 18, 2025
Python

fregu856 / evaluating_bdl

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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

obiyoag / BayeSeg

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[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 Nov 27, 2024
Python

borchero / natural-posterior-network

Sponsor

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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

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(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

langnico / GEDI-BDL

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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".

deep-learning waveform regression cnn lidar convolutional-neural-networks uncertainty-estimation gedi bayesian-deep-learning 1d-convolution 1d-cnn deep-ensembles

Updated Nov 4, 2021
Python

armanihm / GDC

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Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

machine-learning deep-neural-networks deep-learning graph-convolutional-networks gcn bayesian-neural-networks gcnn bayesian-deep-learning graph-neural-networks graph-neural-network graphneuralnetwork graph-deep-learning

Updated Aug 13, 2020
Python

IntelLabs / AVUC

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Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

deep-learning uncertainty-neural-networks model-calibration uncertainty-quantification uncertainty-estimation variational-inference bayesian-deep-learning probabilistic-neural-network probabilistic-deep-learning uncertainty-calibration

Updated Dec 16, 2022
Python

shangqigao / BayeSeg

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The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch

image-segmentation variational-inference image-decomposition bayesian-deep-learning cardiac-segmentation statistical-modeling model-generalization