bayesian-deep-learning
There are 114 repositories under bayesian-deep-learning topic.
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
OATML/bdl-benchmarks
Bayesian Deep Learning Benchmarks
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
junyuchen245/TransMorph_Transformer_for_Medical_Image_Registration
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
js05212/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
kyle-dorman/bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
bayesgroup/variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017
google-deepmind/kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
kumar-shridhar/Master-Thesis-BayesianCNN
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
nitarshan/bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
fregu856/evaluating_bdl
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
ericmjl/bayesian-deep-learning-demystified
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
ivannz/mlss2019-bayesian-deep-learning
MLSS2019 Tutorial on Bayesian Deep Learning
obiyoag/BayeSeg
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
borchero/natural-posterior-network
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
xxxnell/spatial-smoothing
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
cambridge-mlg/DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
necludov/group-sparsity-sbp
Structured Bayesian Pruning, NIPS 2017
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".
armanihm/GDC
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
sungyubkim/MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
IntelLabs/AVUC
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
ExplainableML/UncerGuidedI2I
Uncertainty Guided Progressive GANs for Medical Image Translation
makora9143/pytorch-convcnp
A PyTorch Implementation of Convolutional Conditional Neural Process.
JuliaTrustworthyAI/LaplaceRedux.jl
Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
ExplainableML/ProbVLM
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
shangqigao/BayeSeg
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
dtak/ocbnn-public
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
giannifranchi/LP_BNN
This repository contains an official implementation of LPBNN.
YingzhenLi/Dropout_BBalpha
Implementations of the ICML 2017 paper (with Yarin Gal)
supernnova/SuperNNova
Open Source Photometric classification https://supernnova.readthedocs.io
DLR-RM/curvature
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
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.
thudzj/ScalableBDL
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"