hurrialice / uncertainties
AM207 project: dissect aleatoric and epistemic uncertainty
☆89Updated 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☆56Updated 4 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 3 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆166Updated 5 years ago
- ☆107Updated 3 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆28Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆68Updated 5 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆211Updated 5 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆155Updated 2 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆14Updated 5 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆191Updated 3 years ago
- Epistemic Uncertainty Estimation with Monte Carlo Dropout☆8Updated 5 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆9Updated 4 years ago
- Evidential Deep Learning in PyTorch☆55Updated 2 years ago
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆10Updated 10 months ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆20Updated 3 years ago
- ☆237Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆141Updated last year
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆137Updated 7 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- ☆23Updated 4 years ago
- PyTorch implementation of the GradNorm☆94Updated 8 months ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆87Updated 3 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 4 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆469Updated last year
- This repository contains an official implementation of LPBNN.☆39Updated last year
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆35Updated 2 years ago
- Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)☆24Updated 3 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆44Updated 5 years ago
- ☆66Updated 5 years ago