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
- ☆108Updated 4 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆167Updated 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.☆29Updated 5 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆193Updated 3 years ago
- ☆238Updated 5 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆210Updated 5 years ago
- PyTorch implementation of the GradNorm☆101Updated 10 months ago
- Evidential Deep Learning in PyTorch☆62Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339☆45Updated 3 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆69Updated 5 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆20Updated 3 years ago
- ☆23Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆38Updated 7 months ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆42Updated 2 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆136Updated 2 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆76Updated 2 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 4 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆88Updated 3 years ago
- Official code for the CVPR 2021 paper "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation"☆66Updated 3 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- ☆67Updated 2 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆135Updated 2 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆75Updated 4 years ago