Alternatives and similar repositories for ULDA:

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

• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 3 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 3 years ago
• dvornikita / fewshot_ensemble
  Ensembles of CNNs for few-shot image classification
  ☆53Updated 4 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• Yuxin-CV / DTN
  [AAAI-2020, Oral] Diversity Transfer Network for Few-Shot Learning
  ☆62Updated 4 years ago
• haofusheng / SAML
  Collect and Select: Semantic Alignment Metric Learning for Few-shot Learning
  ☆20Updated 5 years ago
• imtiazziko / LaplacianShot
  Laplacian Regularized Few Shot Learning
  ☆82Updated 2 years ago
• seongmin-kye / MCT
  Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
  ☆71Updated 4 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 3 years ago
• njulus / REFILLED
  This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".
  ☆48Updated 4 years ago
• thuml / TransNorm
  Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
  ☆79Updated 4 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆96Updated last year
• Yiluan / AWGIM
  Code for paper "Attentive Weights Generation for Few Shot Learning via Information Maximization"
  ☆16Updated 4 years ago
• Sha-Lab / aCASTLE
  The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"
  ☆22Updated 3 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 2 years ago
• chrysts / dsn_fewshot
  ☆90Updated 2 years ago
• 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
• sundw2014 / DCM
  Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)
  ☆30Updated 4 years ago
• yaoyao-liu / e3bm
  PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)
  ☆48Updated last year
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆104Updated 4 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆104Updated 3 years ago
• thuml / CoTuning
  Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
  ☆40Updated 2 years ago
• goldblum / FeatureClustering
  ☆13Updated 4 years ago
• ZJULearning / ALDA
  Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.
  ☆52Updated last year
• DiegoOrtego / LabelNoiseMOIT
  Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"
  ☆39Updated 2 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆64Updated 4 years ago
• JoyHuYY1412 / DDE_CIL
  ☆59Updated 2 years ago