Alternatives and similar repositories for Class-Imbalanced-Semi-Supervised-Learning:

Users that are interested in Class-Imbalanced-Semi-Supervised-Learning are comparing it to the libraries listed below

• bbuing9 / DARP
  Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)
  ☆73Updated 2 years ago
• yanbeic / ssl-class-mismatch
  Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch
  ☆15Updated 3 years ago
• LeeHyuck / ABC
  pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
  ☆36Updated 3 months ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆65Updated 3 years ago
• thuml / Transferable-Query-Selection
  Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)
  ☆24Updated 2 years ago
• TKKim93 / APE
  [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
  ☆30Updated 4 years ago
• emma-sjwang / EISNet
  [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
  ☆48Updated 2 years ago
• huangjk97 / T2T
  Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"
  ☆24Updated 3 years ago
• virajprabhu / CLUE
  PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)
  ☆42Updated last year
• Haoang97 / MEDI
  Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".
  ☆17Updated last year
• siyuhuang / TOD
  PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021
  ☆41Updated 2 years ago
• yue-zhongqi / tcm
  ☆33Updated 3 years ago
• VisionLearningGroup / Benchmark_Domain_Transfer
  ☆18Updated 2 years ago
• ZhenWang-PhD / Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning
  Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’
  ☆20Updated 4 years ago
• ytaek-oh / daso
  Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.
  ☆70Updated 2 years ago
• abdullahjamal / Longtail_DA
  [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
  ☆24Updated 4 years ago
• alpc91 / TransDA
  This is an official implementation for "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"
  ☆20Updated 2 years ago
• YU1ut / Multi-Task-Curriculum-Framework-for-Open-Set-SSL
  Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
  ☆23Updated 4 years ago
• lim3944 / ReMixmatch-pytorch
  ☆14Updated 4 years ago
• asrafulashiq / transfer_broad
  Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
  ☆36Updated 2 years ago
• GT-RIPL / FeatMatch
  PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
  ☆50Updated 4 years ago
• EricZsy / BalancedKnowledgeDistillation
  Code for "Balanced Knowledge Distillation for Long-tailed Learning"
  ☆27Updated last year
• VisionLearningGroup / OP_Match
  ☆58Updated last year
• jxhuang0508 / RDA
  <Robust Domain Adaptation> in ICCV2021
  ☆19Updated 3 years ago
• pxiangwu / PLC
  ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
  ☆43Updated 2 years ago
• ZyeZhang / DaC
  Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).
  ☆42Updated 2 years ago
• korawat-tanwisuth / Proto_DA
  ☆43Updated 3 years ago
• ZJUJeffLai / SAW_SSL
  ☆13Updated 2 years ago
• ChrisAllenMing / LtC-MSDA
  Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).
  ☆70Updated 2 years ago
• woozch / DSBN
  Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"
  ☆149Updated last year