bayesian-deep-learning topic

Open Source Photometric classification https://supernnova.readthedocs.io

supernnova

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

armanihm

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".

langnico

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

dtak

Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods

akashmondal1810

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

obiyoag

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

shangqigao

Uncertainty Guided Progressive GANs for Medical Image Translation

ExplainableML

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

thudzj

ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

ExplainableML