Alternatives and similar repositories for dal-toolbox

Users that are interested in dal-toolbox are comparing it to the libraries listed below

• osimeoni / RethinkingDeepActiveLearning
  ☆15Updated 4 years ago
• euphoria0-0 / Learning-Loss-for-Active-Learning
  An unofficial PyTorch implementation of "Learning Loss for Active Learning"
  ☆10Updated 3 years ago
• avihu111 / TypiClust
  Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets
  ☆100Updated last year
• YoonyeongKim / LADA
  Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)
  ☆15Updated last year
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆106Updated 2 years ago
• PrateekMunjal / TorchAL
  Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
  ☆68Updated 2 years ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆210Updated last year
• GRichard513 / ADisc-MSDA
  Code for Unsupervised Multi-Source Domain Adaptation for Regression paper
  ☆20Updated 5 years ago
• ismailnejjar / DARE-GRAM
  [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
  ☆58Updated 2 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆146Updated 2 years ago
• kaist-dmlab / SELFIE
  ☆53Updated 6 years ago
• kaist-dmlab / MQNet
  ☆33Updated 3 years 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…
  ☆42Updated 2 years ago
• jaehong31 / OCS
  Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022
  ☆24Updated 3 years ago
• ml-postech / active-label-correction
  Active Label Correction for Semantic Segmentation with Foundation Models
  ☆17Updated 11 months ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆47Updated 2 years ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆52Updated 2 years ago
• microsoft / Domain-Adaptation-with-Conditional-Distribution-Matching-and-Generalized-Label-Shift
  Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
  ☆39Updated 5 years ago
• daintlab / confidence-aware-learning
  Confidence-Aware Learning for Deep Neural Networks (ICML2020)
  ☆74Updated 5 years ago
• kaist-dmlab / Prune4Rel
  ☆26Updated last year
• tianyizhou / DIHCL
  Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)
  ☆28Updated 4 years ago
• snowood1 / wenn
  Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
  ☆16Updated 4 years ago
• SineZHAN / deepALplus
  This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…
  ☆183Updated last year
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 2 years ago
• Wang-ML-Lab / unified-continual-learning
  [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  ☆51Updated 11 months ago
• dirichletcal / experiments_neurips
  ☆21Updated 2 years ago
• daintlab / unknown-detection-benchmarks
  ☆13Updated 3 years ago
• virajprabhu / CLUE
  PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)
  ☆44Updated 2 years ago
• cjshui / WAAL
  Wasserstein Adversarial Active Learning
  ☆29Updated 5 years ago