This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
☆520Jan 2, 2024Updated 2 years ago
Alternatives and similar repositories for pytorch-classification-uncertainty
Users that are interested in pytorch-classification-uncertainty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Jan 8, 2019Updated 7 years ago
- [ICCV 2021 Oral] Deep Evidential Action Recognition☆133Sep 4, 2023Updated 2 years ago
- Evidential Deep Learning in PyTorch☆74Sep 27, 2022Updated 3 years ago
- Implementation of Deep evidential regression paper☆58Dec 6, 2020Updated 5 years ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆45Apr 29, 2023Updated 3 years ago
- This is the available code for the paper `evidential fully convolutional network for semantic segmentation (arXiv preprint arXiv:2103.135…☆13Jun 1, 2022Updated 4 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,586Jul 9, 2026Updated 2 weeks ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- ☆68Dec 20, 2019Updated 6 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- ☆110Jun 29, 2021Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆643Aug 1, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆524Updated this week
- A curated publication list on evidential deep learning.☆190Apr 16, 2025Updated last year
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neura…☆30Sep 14, 2023Updated 2 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆19Sep 2, 2025Updated 10 months ago
- ☆17Jun 18, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Apr 5, 2023Updated 3 years ago
- The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]☆288Feb 9, 2026Updated 5 months ago
- Belief matching framework official implementation☆41Mar 24, 2023Updated 3 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- ☆239May 23, 2020Updated 6 years ago
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆26Jun 24, 2025Updated last year
- AM207 project: dissect aleatoric and epistemic uncertainty☆89Dec 20, 2019Updated 6 years ago
- Continual Evidential Deep Learning ICCVW 2023☆14Nov 3, 2023Updated 2 years ago
- Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual scree…☆135Jul 29, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆162Jul 23, 2022Updated 4 years ago
- A simple way to calibrate your neural network.☆1,173Jul 26, 2025Updated last year
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆378Apr 16, 2026Updated 3 months ago
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 4 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 5 years ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Apr 27, 2021Updated 5 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,003Mar 5, 2025Updated last year