Alternatives and similar repositories for LAMDA-SSL

Users that are interested in LAMDA-SSL are comparing it to the libraries listed below

• thuml / A-Roadmap-for-Transfer-Learning
  ☆163Updated 2 years ago
• ZhiningLiu1998 / imbalanced-ensemble
  🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
  ☆374Updated 2 months ago
• xxgege / StableNet
  Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
  ☆193Updated 3 years ago
• yuntaodu / Transfer-learning-materials
  resource collection for transfer learning!
  ☆250Updated last year
• nayeemrizve / ups
  "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…
  ☆236Updated 2 years ago
• bhanML / label-noise-papers
  An update-to-date list for papers related with label-noise representation learning is here.
  ☆90Updated 3 years ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆194Updated 4 months ago
• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆456Updated 2 years ago
• thuml / Debiased-Self-Training
  Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)
  ☆54Updated 2 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…
  ☆181Updated last year
• jindongwang / tlbook-code
  Code for Transfer Learning book--《迁移学习导论》配套代码
  ☆300Updated 2 years ago
• anirudhshenoy / pseudo_labeling_small_datasets
  Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…
  ☆73Updated 5 years ago
• Chumsy0725 / logit-adj-pytorch
  PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment
  ☆114Updated 3 years ago
• weitongseu / awesome-long-tail-learning
  ☆483Updated 9 months ago
• Han-Zongbo / TMC
  The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]
  ☆262Updated 9 months ago
• hbzju / PiCO
  PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984
  ☆218Updated last year
• guixianjin / noisy_label_papers
  This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.
  ☆35Updated 3 years ago
• YyzHarry / multi-domain-imbalance
  [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
  ☆136Updated 2 years ago
• raminnakhli / Decoupled-Contrastive-Learning
  This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.
  ☆115Updated 3 years ago
• thuml / ForkMerge
  Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)
  ☆17Updated last year
• uvavision / Curriculum-Labeling
  [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
  ☆139Updated 4 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆119Updated 3 years ago
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆259Updated last year
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆51Updated 2 years ago
• iBelieveCJM / Tricks-of-Semi-supervisedDeepLeanring-Pytorch
  PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
  ☆451Updated 2 years ago
• TorchSSL / TorchSSL
  A PyTorch-based library for semi-supervised learning (NeurIPS'21)
  ☆1,357Updated last year
• Yunfan-Li / Contrastive-Clustering
  Code for the paper "Contrastive Clustering" (AAAI 2021)
  ☆319Updated 3 years ago
• xjtushujun / Meta-SPL
  Pytorch implementation for Meta-SPL (self-paced learning).
  ☆18Updated 5 years ago
• ZhiningLiu1998 / mesa
  [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
  ☆109Updated last year
• scilearner / papernotclear
  蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）
  ☆244Updated last year