lunayht / DBALwithImgData

Related projects ⓘ

Alternatives and complementary repositories for DBALwithImgData

• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆129Updated last year
• acl21 / deep-active-learning-pytorch
  A PyTorch toolkit with 8 popular deep active learning query methods implemented.
  ☆83Updated 3 years ago
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆100Updated last year
• avihu111 / TypiClust
  Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets
  ☆82Updated 3 weeks ago
• IntelLabs / AVUC
  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
  ☆53Updated last year
• PrateekMunjal / TorchAL
  Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
  ☆65Updated last year
• cjshui / WAAL
  Wasserstein Adversarial Active Learning
  ☆29Updated 4 years ago
• rpinsler / active-bayesian-coresets
  ☆40Updated 4 years ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆198Updated 5 months ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 5 years ago
• osimeoni / RethinkingDeepActiveLearning
  ☆15Updated 3 years ago
• Javadzb / Class-Balanced-AL
  ☆22Updated 2 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 2 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆29Updated 2 years ago
• avitase / mder
  Supplementary material to reproduce "Multivariate Deep Evidential Regression"
  ☆19Updated 2 years ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆39Updated last year
• stanislavfort / exploring_the_limits_of_OOD_detection
  Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…
  ☆43Updated 2 years ago
• ptrckhmmr / DEAL
  Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)
  ☆21Updated 3 years ago
• Jonathan-Pearce / calibration_library
  Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!
  ☆68Updated 6 months ago
• johnsk95 / PT4AL
  Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"
  ☆54Updated 6 months ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆97Updated 3 years ago
• inspire-group / SSD
  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
  ☆134Updated 3 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆59Updated 4 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆27Updated last year
• cubeyoung / TA-VAAL
  [CVPR2021] Task-Aware Variational Adversarial Active Learning
  ☆41Updated 8 months ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 3 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated last year
• KaosEngineer / PriorNetworks
  ☆65Updated 4 years ago
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 3 years ago
• BlackHC / batchbald_redux
  Reusable BatchBALD implementation
  ☆74Updated 8 months ago