Alternatives and similar repositories for GLMC:

Users that are interested in GLMC are comparing it to the libraries listed below

• jinyan-06 / SHIKE
  Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)
  ☆36Updated 11 months ago
• Gank0078 / ACR
  Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)
  ☆67Updated last year
• lijian16 / FCC
  [CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted …
  ☆21Updated last year
• fistyee / MDCS
  🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]
  ☆29Updated 4 months ago
• KaihuaTang / Generalized-Long-Tailed-Benchmarks.pytorch
  [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…
  ☆123Updated 6 months ago
• sumyeongahn / CUDA_LTR
  Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)
  ☆21Updated last year
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆48Updated last year
• Keke921 / GCLLoss
  official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.
  ☆38Updated 8 months ago
• xialeiliu / Long-Tailed-CIL
  ☆48Updated last year
• zhoudw-zdw / TPAMI-Limit
  The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
  ☆36Updated last year
• FlamieZhu / Balanced-Contrastive-Learning
  Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”
  ☆106Updated 2 years ago
• NeuralCollapseApplications / FSCIL
  [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…
  ☆85Updated last year
• jiequancui / ResLT
  ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
  ☆61Updated last year
• WentaoChen0813 / SemanticPrompt
  ☆36Updated last year
• shijxcs / LIFT
  Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)
  ☆72Updated 4 months ago
• TJU-sjyj / AMU-Tuning
  ☆40Updated 10 months ago
• Hzzone / TCL
  Twin Contrastive Learning with Noisy Labels (CVPR 2023)
  ☆68Updated last year
• TencentYoutuResearch / Classification-SemiCLS
  Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”
  ☆95Updated 2 years ago
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆51Updated 2 years ago
• renzhenwang / bias-adaptive-classifier
  This repository contains code for the paper "Imbalanced Semi-supervised Learning with Bias Adaptive Classifier", published at ICLR 2023.
  ☆18Updated last year
• naver-ai / cmo
  ☆47Updated 2 years ago
• chu0802 / SLA
  Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023
  ☆40Updated 8 months ago
• SakurajimaMaiii / TSD
  [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation
  ☆44Updated 8 months ago
• TonyLianLong / UnsupervisedSelectiveLabeling
  [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
  ☆60Updated last year
• zhoudw-zdw / CVPR21-Proser
  Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)
  ☆85Updated 3 years ago
• StomachCold / HCTransformers
  ☆58Updated 8 months ago
• jeff024 / PALM
  This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024
  ☆24Updated 7 months ago
• mrkshllr / FewTURE
  Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]
  ☆57Updated 2 years ago
• sungnyun / understanding-cdfsl
  (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
  ☆33Updated 11 months ago