Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

• UpdatedMar 5, 2025
• Python

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

• UpdatedApr 19, 2024
• Python

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

• UpdatedSep 25, 2023
• Python

Bayesian Deep Learning Benchmarks

• UpdatedMar 24, 2023
• Jupyter Notebook

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

• UpdatedMay 22, 2025
• Python

Bayesian Deep Learning: A Survey

• UpdatedOct 10, 2025

Building a Bayesian deep learning classifier

• UpdatedOct 30, 2017
• Jupyter Notebook

Sparse Variational Dropout, ICML 2017

• UpdatedMay 20, 2020
• Jupyter Notebook

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

• UpdatedDec 17, 2025
• Python

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

• UpdatedJul 1, 2019
• TeX

PyTorch implementation of "Weight Uncertainty in Neural Networks"

• UpdatedApr 12, 2022
• Jupyter Notebook

Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

• UpdatedJul 4, 2020
• Python

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

• UpdatedNov 29, 2017
• CSS

MLSS2019 Tutorial on Bayesian Deep Learning

• UpdatedDec 31, 2019
• Jupyter Notebook

[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"

• UpdatedNov 27, 2024
• Python

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

• UpdatedApr 5, 2023
• Python

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

• UpdatedJul 15, 2022
• Python

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

• UpdatedOct 3, 2023
• Jupyter Notebook

Structured Bayesian Pruning, NIPS 2017

• UpdatedJul 10, 2020
• Jupyter Notebook

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".

• UpdatedNov 4, 2021
• Python