Alternatives and similar repositories for subspace-reg

Users that are interested in subspace-reg are comparing it to the libraries listed below

• sungnyun / understanding-cdfsl
  (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
  ☆33Updated last year
• phquang / DualNet
  ☆66Updated 3 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
• LAMDA-CL / TPAMI-Limit
  The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)
  ☆38Updated 2 years ago
• Liuhong99 / CST
  Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
  ☆53Updated 3 years ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆124Updated 3 years ago
• alinlab / PsCo
  Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
  ☆56Updated last year
• DianCh / AdaContrast
  Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
  ☆103Updated 3 years ago
• VisionLearningGroup / CDS
  CDS: Cross-Domain Self-supervised Pre-training
  ☆27Updated 3 years ago
• Mattdl / ContinualEvaluation
  [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
  ☆30Updated 2 years ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆64Updated 3 years ago
• salesforce / ensemble-of-averages
  ☆31Updated 6 months ago
• huang50213 / AIM-Fewshot-Continual
  ☆30Updated 4 years ago
• kminsoo / AFC
  ☆60Updated 3 years ago
• JosephKJ / ELI
  (CVPR 2022) Energy-based Latent Aligner for Incremental Learning
  ☆52Updated 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…
  ☆91Updated 2 years ago
• plai-group / simple-cnaps
  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…
  ☆58Updated 3 years ago
• Albert0147 / NRC_SFDA
  Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
  ☆77Updated 2 years ago
• LeeHyuck / ABC
  pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
  ☆39Updated 11 months ago
• naver-ai / cmo
  ☆48Updated 2 years ago
• ExplainableML / ACVC
  Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"
  ☆29Updated 2 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆98Updated 2 years ago
• korawat-tanwisuth / Proto_DA
  ☆49Updated 4 years ago
• jhairgallardo / awesome-continual-self-supervised-learning
  List of papers that combine self-supervision and continual learning
  ☆69Updated 8 months ago
• VisionLearningGroup / Benchmark_Domain_Transfer
  ☆19Updated 3 years ago
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆41Updated 4 years ago
• VICO-UoE / URL
  Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…
  ☆139Updated last year
• asrafulashiq / dynamic-cdfsl
  Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".
  ☆32Updated 3 years ago
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆42Updated 2 years ago
• tim-learn / DINE
  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
  ☆82Updated last year