Alternatives and similar repositories for uncertainties:

Users that are interested in uncertainties are comparing it to the libraries listed below

• deebuls / deep_evidential_regression_loss_pytorch
  Implementation of Deep evidential regression paper
  ☆53Updated 4 years ago
• ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
  Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…
  ☆78Updated 3 years ago
• hmi88 / what
  Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
  ☆158Updated 5 years ago
• Jiachen-T-Wang / dirichlet-priornet
  Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.
  ☆28Updated 4 years ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆99Updated 3 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆64Updated 5 years ago
• pmorerio / dl-uncertainty
  "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
  ☆211Updated 5 years ago
• aredier / monte_carlo_dropout
  using monte carlo dropout to have uncertainty estimation of predictions
  ☆14Updated 5 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 6 years ago
• VICO-UoE / KD4MTL
  Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)
  ☆75Updated last year
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆39Updated last year
• cpark321 / uncertainty-deep-learning
  ☆230Updated 4 years ago
• LucasBoTang / GradNorm
  PyTorch implementation of the GradNorm
  ☆83Updated 5 months ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆152Updated 2 years ago
• MaHuanAAA / MoNIG
  Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
  ☆39Updated last year
• xxgege / StableNet
  Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
  ☆187Updated 2 years ago
• atilberk / evidential-deep-learning-to-quantify-classification-uncertainty
  Work on Evidential Deep Learning to Quantify Classification Uncertainty
  ☆59Updated 6 years ago
• JingZhang617 / UncertaintyEstimation
  ☆49Updated 3 years ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆41Updated last year
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆32Updated last year
• lorenmt / auto-lambda
  The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
  ☆133Updated 2 years ago
• avitase / mder
  Supplementary material to reproduce "Multivariate Deep Evidential Regression"
  ☆19Updated 2 years ago
• mattiasegu / uncertainty_estimation_deep_learning
  This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…
  ☆227Updated 6 months ago
• asharakeh / probdet
  Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)
  ☆67Updated 3 years ago
• BIT-DA / GDCAN
  [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339
  ☆45Updated 2 years ago
• KaosEngineer / PriorNetworks
  ☆66Updated 5 years ago
• amazon-science / crossnorm-selfnorm
  CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021
  ☆129Updated 3 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆109Updated 4 years ago
• yizhanyang / Uncertainty-Estimation-BNN
  Epistemic Uncertainty Estimation with Monte Carlo Dropout
  ☆8Updated 5 years ago
• teddykoker / evidential-learning-pytorch
  Evidential Deep Learning in PyTorch
  ☆47Updated 2 years ago