ENSTA-U2IS-AI/awesome-uncertainty-deeplearning

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

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juanfierro94/ct-scan-modeling-thesis-bayesian-deterministic

This repository contains code and resources for my thesis project on uncertainty estimation in computed tomography (CT) scan modeling. Explore Bayesian and deterministic neural network architectures for CT analysis and compare their effectiveness in quantifying uncertainty.

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google/TrustScore

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 probability for a neural network).

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mattiasegu/uncertainty_estimation_deep_learning

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 Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

Language: Python - Size: 321 KB - Last synced: 24 days ago - Pushed: about 3 years ago - Stars: 217 - Forks: 36

IntelLabs/bayesian-torch

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

Language: Python - Size: 346 KB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 440 - Forks: 62

testingautomated-usi/uncertainty-wizard

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 parallel.

Language: Python - Size: 420 KB - Last synced: about 2 months ago - Pushed: 12 months ago - Stars: 42 - Forks: 5

cambridge-mlg/DUN

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

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DLR-RM/moegplib

Official Code: Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes

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microsoft/protein-uq

Benchmarking uncertainty quantification methods on proteins.

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Kaleidophon/nlp-uncertainty-zoo

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

Language: Python - Size: 7.83 MB - Last synced: 18 days ago - Pushed: about 1 year ago - Stars: 44 - Forks: 4

JavierAntoran/Bayesian-Neural-Networks

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

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dlmacedo/robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

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KuoHaoZeng/cartpole_model_based_control

Behaviour Cloning of Cartpole Swing-up Policy with Model-Predictive Uncertainty Regularization (UW CSE571 Guided Project)

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saurabhmathur96/uncertain-classifier

A neural-network based image classifier that quantifies its uncertainty using Bayesian methods, as described in Kendall and Gal (2017)

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aritraghsh09/GaMPEN

ML framework to estimate Bayesian posteriors of galaxy morphological parameters

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

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 details: "A Primer on Bayesian Neural Networks: Review and Debates"

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nikitadurasov/masksembles

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).

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shekkizh/neuralnetworks.thought-experiments

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

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MicheleUIT/Probabilistic-load-forecasting-with-Reservoir-Computing

Probabilistic load forecasting with Reservoir Computing

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dougbrion/pytorch-classification-uncertainty

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

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signaloid/Signaloid-Demo-Sensors-BME680ConversionRoutines

Example Git repository that you can run on the signaloid.io uncertainty-tracking computation platform.

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cognizant-ai-labs/rio-paper

Code and supporting materials for the ICLR 2020 RIO paper

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antonbaumann/MIMO-Unet

PyTorch implementation of Probabilistic MIMO U-Net

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marketdesignresearch/NOMU

NOMU: Neural Optimization-based Model Uncertainty

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vvanirudh/deep-ensembles-uncertainty

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

Language: Python - Size: 366 KB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 125 - Forks: 32

Vikr-182/uap-bev

UAP-BEV: Uncertainty Aware Planning in Bird's Eye View Generated from Monocular Images (CASE 2023)

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clabrugere/randomized-prior-net

Simple and efficient way of performing deep ensembling to improve robustness as well as estimate uncertainty

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fraunhofer-iais/wasserstein-dropout

Wasserstein dropout (W-dropout) is a novel technique to quantify uncertainty in regression networks. It is fully non-parametric and yields accurate uncertainty estimates - even under data shifts.

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fraunhofer-iais/second-moment-loss

The second-moment loss (SML) is a novel training objective for dropout-based regression networks that yields improved uncertainty estimates.

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DelTA-Lab-IITK/PDUN

Probabilistic framework for solving Visual Dialog

Size: 21 MB - Last synced: 9 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

swamiviv/guided_perturbations

Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks

Language: Python - Size: 339 KB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 3 - Forks: 0

cvlab-epfl/masksembles Fork of nikitadurasov/masksembles

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).

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amrit110/Active-Learning-Papers

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

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gengshan-y/monodepth-uncertainty

Inferring distributions over depth from a single image, IROS 2019

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ptrckhmmr/DEAL

Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)

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kyaiooiayk/Uncertainty-Quantification-for-Machine-Learning-Notes

Uncertainty quantification fo ML - collection of scripts, tutorials and templates

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firasl/CWCC

This repository provides the official implementation of "Robust channel-wise illumination estimation." accepted in BMVC (2021).

Language: Python - Size: 564 KB - Last synced: 11 months ago - Pushed: about 2 years ago - Stars: 5 - Forks: 2

IntelLabs/AVUC 📦

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

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AI4PFAS/AI4PFAS

Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"

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TeaPearce/Censored_Quantile_Regression_NN

NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'

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cantarinigiorgio/HHP-Net

[WACV'22] Official implementation of "HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty"

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Simula-COMPLEX/nirvana

RBF SVM based wrong prediction estimator in deep learning models employed for CPS data

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homaralex/mc-dropout-mnist

Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf

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sungyubkim/MCDO

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

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wwu-mmll/uncertainty-brain-age

Uncertainty aware brain age prediction

Language: Python - Size: 15.6 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

marcovirgolin/Uncertainty-Estimation-in-Deep-Nets

Attempt to reproduce the toy experiment of http://bit.ly/2C9Z8St with an ensemble of nets and with dropout.

Language: Python - Size: 91.8 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 3 - Forks: 1

JCSadeghi/Efficient-Training-of-Interval-Neural-Networks-for-Imprecise-Training-Data Fork of MrGemy95/Tensorflow-Project-Template

Experiments from Efficient Training of Interval Neural Networks for Imprecise Training Data

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jerinphilip/dirichlet-prior-networks

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antonyalexos/LWTA-SBP-Adversarial-Robustness-DNN

A repository about Robust Deep Neural Networks with Uncertainty, Local Competition and Error-Correcting-Output-Codes in TensorFlow.

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cdebeunne/uncertainties_CNN

A repo for toy examples to test uncertainties estimation of neural networks

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simonpf/predictive_uncertainty

A validation study for the application of quantile regression neural networks to Bayesian remote sensing retrievals

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sohamghosh121/natural-parameter-networks

An implementation of natural parameter networks and its extension to GRUs in PyTorch

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