#Bayesian-deep-learning
Showing 9 of 9 repositories tagged #bayesian-deep-learning, ranked by stars
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
Bayesian Deep Learning: A Survey
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Open Source Photometric classification https://supernnova.readthedocs.io
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.