Alternatives and similar repositories for evidential-learning-pytorch:

Users that are interested in evidential-learning-pytorch are comparing it to the libraries listed below

• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated last year
• avitase / mder
  Supplementary material to reproduce "Multivariate Deep Evidential Regression"
  ☆20Updated 3 years ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆105Updated 3 years ago
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆18Updated last year
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆35Updated 2 years ago
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆103Updated last year
• pasteurlabs / unreasonable_effective_der
  Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
  ☆27Updated 2 years ago
• deebuls / deep_evidential_regression_loss_pytorch
  Implementation of Deep evidential regression paper
  ☆55Updated 4 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆139Updated last year
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆70Updated last year
• Jiachen-T-Wang / dirichlet-priornet
  Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.
  ☆28Updated 4 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆76Updated 2 years ago
• clabrugere / evidential-deeplearning
  Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neura…
  ☆25Updated last year
• deargen / MT-ENet
  Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
  ☆19Updated 3 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 6 years ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆39Updated last year
• ismailnejjar / DARE-GRAM
  [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
  ☆53Updated last year
• dougbrion / pytorch-deep-ensembles
  This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"
  ☆13Updated 3 years ago
• snowood1 / wenn
  Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
  ☆16Updated 3 years ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆29Updated 10 months ago
• AlvinWen428 / FeatureCP
  The official codebase for Predictive Inference with Feature Conformal Prediction
  ☆34Updated 2 years ago
• Wang-ML-Lab / VDI
  [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
  ☆38Updated last year
• maohaos2 / PosthocUQ
  ☆16Updated 10 months ago
• JunwenBai / C-GMVAE
  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
  ☆48Updated last year
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆49Updated 2 years ago
• TaeseongYoon / DAEDL
  [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning
  ☆10Updated 9 months ago
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 2 years ago
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆112Updated 2 years ago
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated 10 months ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆44Updated last year