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
  ☆58Updated 4 years ago
• hmi88 / what
  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-Vision
  Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…
  ☆79Updated 4 years ago
• Jiachen-T-Wang / dirichlet-priornet
  Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.
  ☆30Updated 5 years ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆109Updated 4 years ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆70Updated 5 years ago
• LeeHyuck / ABC
  pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
  ☆39Updated 10 months ago
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆104Updated 2 years ago
• xxgege / StableNet
  Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
  ☆198Updated 3 years ago
• VICO-UoE / KD4MTL
  Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)
  ☆77Updated 2 years ago
• cpark321 / uncertainty-deep-learning
  ☆238Updated 5 years ago
• AvivNavon / nash-mtl
  Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
  ☆232Updated 3 months ago
• acl21 / deep-active-learning-pytorch
  A PyTorch toolkit with 8 popular deep active learning query methods implemented.
  ☆90Updated 4 years ago
• MaHuanAAA / MoNIG
  Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
  ☆47Updated last year
• Keke921 / GCLLoss
  official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.
  ☆44Updated 4 months ago
• LucasBoTang / GradNorm
  PyTorch implementation of the GradNorm
  ☆106Updated last year
• avitase / mder
  Supplementary material to reproduce "Multivariate Deep Evidential Regression"
  ☆20Updated 3 years ago
• ENSTA-U2IS-AI / LDU
  Latent Discriminant deterministic Uncertainty [ECCV2022]
  ☆42Updated 3 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆144Updated 2 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆57Updated 6 years ago
• teddykoker / evidential-learning-pytorch
  Evidential Deep Learning in PyTorch
  ☆64Updated 3 years ago
• atilberk / evidential-deep-learning-to-quantify-classification-uncertainty
  Work on Evidential Deep Learning to Quantify Classification Uncertainty
  ☆60Updated 6 years ago
• amazon-science / crossnorm-selfnorm
  CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021
  ☆128Updated 4 years ago
• daintlab / confidence-aware-learning
  Confidence-Aware Learning for Deep Neural Networks (ICML2020)
  ☆73Updated 5 years ago
• aredier / monte_carlo_dropout
  using monte carlo dropout to have uncertainty estimation of predictions
  ☆16Updated 5 years ago
• YyzHarry / multi-domain-imbalance
  [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
  ☆138Updated 2 years ago
• oscarkey / multitask-learning
  MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …
  ☆91Updated 5 years ago
• lorenmt / auto-lambda
  The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
  ☆139Updated 2 years ago
• pseulki / IB-Loss
  [ICCV 2021] Influence-balanced Loss for Imbalanced Visual Classification
  ☆102Updated 3 years ago