SineZHAN / deepALplus

Related projects ⓘ

Alternatives and complementary repositories for deepALplus

• avihu111 / TypiClust
  Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets
  ☆82Updated 3 weeks ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆197Updated 5 months ago
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆100Updated last year
• AminParvaneh / alpha_mix_active_learning
  The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper
  ☆81Updated last year
• acl21 / deep-active-learning-pytorch
  A PyTorch toolkit with 8 popular deep active learning query methods implemented.
  ☆83Updated 3 years ago
• yongjin-shin / awesome-active-learning
  Awesome Active Learning Paper List
  ☆139Updated 6 months ago
• baifanxxx / awesome-active-learning
  A curated list of awesome Active Learning
  ☆730Updated last month
• ej0cl6 / deep-active-learning
  Deep Active Learning
  ☆811Updated 2 years ago
• PrateekMunjal / TorchAL
  Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
  ☆65Updated last year
• Mephisto405 / Learning-Loss-for-Active-Learning
  Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
  ☆215Updated 4 years ago
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆260Updated 6 years ago
• kkirchheim / pytorch-ood
  👽 Out-of-Distribution Detection with PyTorch
  ☆252Updated last week
• cjshui / WAAL
  Wasserstein Adversarial Active Learning
  ☆29Updated 4 years ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆211Updated last year
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆163Updated 4 months ago
• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆447Updated 2 years ago
• decile-team / distil
  DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
  ☆142Updated last year
• dsgissin / DiscriminativeActiveLearning
  Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…
  ☆202Updated 5 years ago
• wetliu / energy_ood
  ☆400Updated 3 years ago
• johnsk95 / PT4AL
  Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"
  ☆54Updated 6 months ago
• 2006pmach / awesome-active-learning
  A list of active learning methods for deep learning.
  ☆63Updated 10 months ago
• dougbrion / pytorch-classification-uncertainty
  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
  ☆438Updated 10 months ago
• songhwanjun / Awesome-Noisy-Labels
  A Survey
  ☆542Updated last year
• GZWQ / Awesome-Long-Tailed
  Papers about long-tailed tasks
  ☆88Updated last year
• Jingkang50 / OpenOOD
  Benchmarking Generalized Out-of-Distribution Detection
  ☆870Updated last month
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆40Updated last year
• sinhasam / vaal
  Variational Adversarial Active Learning (ICCV 2019)
  ☆225Updated last year
• shengliu66 / ELR
  Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
  ☆288Updated last year
• ptrckhmmr / DEAL
  Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)
  ☆21Updated 3 years ago
• Javadzb / Class-Balanced-AL
  ☆22Updated 2 years ago