bayesian-deep-learning topic

Implementations of the ICML 2017 paper (with Yarin Gal)

YingzhenLi

A PyTorch Implementation of Convolutional Conditional Neural Process.

makora9143

Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"

reml-lab

This repository contains an official implementation of LPBNN.

giannifranchi

Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.

DLR-RM

The Deep Weight Prior, ICLR 2019

SamsungLabs

A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

sungyubkim

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

borchero

Attending to Discriminative Certainty for Domain Adaptation

DelTA-Lab-IITK

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 Sourc...

JuliaEpi