Alternatives and similar repositories for SUR

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

• imtiazziko / LaplacianShot
  Laplacian Regularized Few Shot Learning
  ☆82Updated 2 years ago
• Sha-Lab / aCASTLE
  The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"
  ☆22Updated 3 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆105Updated 4 years ago
• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆105Updated 4 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆98Updated last year
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• yaoyao-liu / e3bm
  PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)
  ☆48Updated last year
• Simon4Yan / Meta-set
  Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
  ☆36Updated 2 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆36Updated 3 years ago
• WonderSeven / ULDA
  The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"
  ☆26Updated 3 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• Yiluan / AWGIM
  Code for paper "Attentive Weights Generation for Few Shot Learning via Information Maximization"
  ☆17Updated 4 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 4 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆66Updated 4 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 2 years ago
• NVlabs / CSG
  ☆28Updated 3 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 3 years ago
• chrysts / dsn_fewshot
  ☆91Updated 3 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago
• hytseng0509 / DropGrad
  Regularizing Meta-Learning via Gradient Dropout
  ☆53Updated 5 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆50Updated 4 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 years ago
• huangleiBuaa / IterNorm-pytorch
  This is the pytorch re-implementation of the IterNorm
  ☆41Updated 6 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 4 years ago
• UMBCvision / MSF
  Official code for "Mean Shift for Self-Supervised Learning"
  ☆56Updated 3 years ago
• universome / class-norm
  Class Normalization for Continual Zero-Shot Learning
  ☆34Updated 4 years ago