Alternatives and similar repositories for open-sampling:

Users that are interested in open-sampling are comparing it to the libraries listed below

• 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
• hongxin001 / ODNL
  Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)
  ☆20Updated 2 years ago
• salesforce / RRL
  ☆17Updated 3 years ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆24Updated last year
• Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatio
  pytorch
  ☆10Updated 3 years ago
• njustkmg / NeurIPS2023-PAL
  NeurIPS2023
  ☆7Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆48Updated last year
• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆28Updated 3 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆53Updated 3 years ago
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆39Updated last year
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆28Updated last year
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• ZFancy / Unleashing-Mask
  [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
  ☆18Updated last year
• TencentAILabHealthcare / UMIX
  ☆17Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆86Updated last year
• QizhouWang / DOE
  ☆26Updated 2 years ago
• deeplearning-wisc / opencon
  Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"
  ☆36Updated last year
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆24Updated last year
• Liuhong99 / CST
  Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
  ☆53Updated 3 years ago
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆48Updated last year
• zjysteven / MixOE
  [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
  ☆27Updated 2 years ago
• YU1ut / Multi-Task-Curriculum-Framework-for-Open-Set-SSL
  Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
  ☆24Updated 4 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• ningkp / LfOSA
  ☆19Updated 2 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆44Updated 2 years ago
• acmi-lab / Open-Set-Label-Shift
  Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift
  ☆31Updated 2 years ago
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆35Updated 2 years ago
• SSSunQing / Example_Influence_CL
  ☆20Updated 2 years ago