hurrialice / uncertaintiesLinks
AM207 project: dissect aleatoric and epistemic uncertainty
☆90Updated 5 years ago
Alternatives and similar repositories for uncertainties
Users that are interested in uncertainties are comparing it to the libraries listed below
Sorting:
- Implementation of Deep evidential regression paper☆57Updated 4 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆168Updated 6 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆79Updated 4 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Updated 5 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆198Updated 3 years ago
- PyTorch implementation of the GradNorm☆110Updated last year
- ☆109Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆70Updated 5 years ago
- ☆23Updated 4 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Updated 5 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆77Updated 2 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- ☆239Updated 5 years ago
- [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices☆57Updated 2 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆105Updated 2 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆74Updated 4 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆44Updated 3 years ago
- Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'☆63Updated 6 years ago
- [CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation☆111Updated 3 years ago
- [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339☆44Updated 3 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆16Updated 6 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆233Updated 4 months ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆39Updated 11 months ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆42Updated 3 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆139Updated 2 years ago
- [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"☆158Updated 2 years ago
- Evidential Deep Learning in PyTorch☆64Updated 3 years ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆45Updated 5 months ago