ENSTA-U2IS-AI / awesome-uncertainty-deeplearningView external linksLinks
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
☆783Dec 5, 2025Updated 2 months ago
Alternatives and similar repositories for awesome-uncertainty-deeplearning
Users that are interested in awesome-uncertainty-deeplearning are comparing it to the libraries listed below
Sorting:
- Open-source framework for uncertainty and deep learning models in PyTorch☆476Feb 6, 2026Updated last week
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆639Aug 1, 2022Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Jun 2, 2023Updated 2 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆512Jan 2, 2024Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,566Feb 2, 2026Updated last week
- ☆110Jun 29, 2021Updated 4 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆34Jun 21, 2024Updated last year
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆18Jul 8, 2024Updated last year
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆509Aug 31, 2021Updated 4 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Jul 25, 2022Updated 3 years ago
- ☆239May 23, 2020Updated 5 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,975Mar 5, 2025Updated 11 months ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆812May 21, 2025Updated 8 months ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,954Oct 20, 2023Updated 2 years ago
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆215Feb 4, 2026Updated last week
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Apr 29, 2023Updated 2 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 2 years ago
- Laplace approximations for Deep Learning.☆534Apr 22, 2025Updated 9 months ago
- Large-scale uncertainty benchmark in deep learning.☆64May 10, 2025Updated 9 months ago
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, boo…☆976Nov 5, 2025Updated 3 months ago
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆14Aug 13, 2024Updated last year
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆978Sep 25, 2023Updated 2 years ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆230Jul 25, 2024Updated last year
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,146Feb 2, 2026Updated last week
- ☆68Dec 20, 2019Updated 6 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆170Jun 27, 2019Updated 6 years ago
- ☆37Mar 7, 2023Updated 2 years ago
- Code for paper "Lymphoma segmentation from 3D PET-CT images using a deep evidential network"☆25Dec 13, 2022Updated 3 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 2 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆372Jan 14, 2026Updated last month
- A Library for Uncertainty Quantification.☆924Apr 23, 2025Updated 9 months ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Mar 3, 2021Updated 4 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆133Jul 4, 2020Updated 5 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 3 years ago