Search Results - RepositoryStats

303

1.9k

mit

28

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

Created 2019-03-11

86 commits to master branch, last one about a year ago

awesome-uncertainty-deeplearning ENSTA-U2IS-AI

57

598

mit

28

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

awesome deep-learning machine-learning awesome-resources deep-neural-networks uncertainty-analysis uncertainty-estimation deep-learning-tutorials uncertainty-quantification uncertainty-neural-networks

Created 2022-01-06

152 commits to main branch, last one 15 days ago

bayesian-torch IntelLabs

73

555

bsd-3-clause

18

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

pytorch deep-learning bayesian-layers bayesian-inference deep-neural-networks bayesian-deep-learning uncertainty-estimation bayesian-neural-networks uncertainty-quantification uncertainty-neural-networks stochastic-variational-inference

This repository has been archived (exclude archived)

Created 2020-12-17

141 commits to main branch, last one 18 days ago

pytorch-classification-uncertainty dougbrion

61

444

mit

9

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

mnist paper pytorch torchvision uncertainty classification mnist-classification dirichlet-distributions evidential-deep-learning uncertainty-neural-networks

Created 2019-12-19

53 commits to master branch, last one about a year ago

uncertainty_estimation_deep_learning mattiasegu

37

226

mit

12

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...

deep-learning uncertainty-neural-networks

Created 2019-06-12

41 commits to master branch, last one 3 years ago

TrustScore google

43

174

apache-2.0

13

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...

uncertainty-estimation uncertainty-neural-networks

This repository has been archived (exclude archived)

Created 2018-09-03

6 commits to master branch, last one 3 years ago

masksembles nikitadurasov

15

100

mit

6

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

paper torch tensorflow deep-learning computer-vision uncertainty-estimation uncertainty-quantification uncertainty-neural-networks out-of-distribution-detection

Created 2021-03-03

34 commits to main branch, last one 10 months ago

DUN cambridge-mlg

11

72

mit

8

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

pytorch robustness uncertainty learnt-depth deep-learning network-depths neural-networks machine-learning bayesian-inference reproducible-paper reproducible-research variational-inference bayesian-deep-learning probabilistic-inference bayesian-neural-networks expectation-maximization neural-architecture-search uncertainty-quantification uncertainty-neural-networks probabilistic-neural-network

Created 2020-06-12

7 commits to master branch, last one 3 years ago

Diffusion-based-Flow-Prediction tum-pbs

6

56

apache-2.0

3

Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"

deep-learning flow-matching fluid-dynamics baysian-network diffusion-models fluid-simulation physics-simulation uncertainty-quantification uncertainty-neural-networks

Created 2023-11-28

39 commits to main branch, last one about a month ago

Bayesian-Neural-Networks-Reading-List konstantinos-p

4

51

unknown

2

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More ...

hmc mcmc sgld uncertainty deep-learning bayes-by-backprop langevin-dynamics bayesian-inference approximate-inference variational-inference bayesian-neural-networks uncertainty-neural-networks local-reparametrization-trick kronecker-factored-approximation

Created 2023-01-16

18 commits to main branch, last one about a year ago

nlp-uncertainty-zoo Kaleidophon

5

47

unknown

3

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

nlp rnn lstm python package pytorch transformers deep-learning nlp-machine-learning uncertainty-estimation uncertainty-quantification uncertainty-neural-networks

Created 2021-03-17

435 commits to main branch, last one about a year ago

uncertainty-wizard testingautomated-usi

6

45

mit

5

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in p...

keras testing uncertainty keras-tensorflow uncertainty-quantification uncertainty-neural-networks

Created 2020-12-13

93 commits to main branch, last one about a year ago