uncertainty-neural-networks topic

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in De...

mattiasegu

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

JavierAntoran

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

IntelLabs

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

dougbrion

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

vvanirudh

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax proba...

google

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

shekkizh

A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.

amrit110

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

ENSTA-U2IS-AI

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

cambridge-mlg