Alternatives and similar repositories for UnsupervisedDataAugmentation.pytorch:

Users that are interested in UnsupervisedDataAugmentation.pytorch are comparing it to the libraries listed below

• ildoonet / unsupervised-data-augmentation
  Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
  ☆146Updated 4 years ago
• dddzg / MoCo
  A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"
  ☆43Updated 4 years ago
• littleredxh / HardNegative
  ☆51Updated 3 years ago
• 2han9x1a0release / RBF-Softmax
  ☆37Updated 4 years ago
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆59Updated 5 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆118Updated last year
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• yxgeee / BAKE
  Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
  ☆81Updated 3 years ago
• bhheo / AB_distillation
  Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
  ☆105Updated 5 years ago
• xiangli13 / circle-loss
  tf2.0 implementation of circle loss
  ☆32Updated 4 years ago
• lonePatient / label_smoothing_pytorch
  pytorch implement of Label Smoothing
  ☆32Updated 5 years ago
• alldbi / SuperMix
  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
  ☆92Updated 3 years ago
• vithursant / SPL-ADVisE
  PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
  ☆20Updated 5 years ago
• zhjohnchan / circleloss.pytorch
  Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.
  ☆51Updated 4 years ago
• yulu0724 / EmbeddingDistillation
  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
  ☆76Updated 5 years ago
• alinlab / M2m
  Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
  ☆94Updated 3 years ago
• seqam-lab / GPDA
  ☆20Updated 5 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• maple-research-lab / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆81Updated last year
• microsoft / metric-transfer.pytorch
  Deep Metric Transfer for Label Propagation with Limited Annotated Data
  ☆49Updated last year
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆123Updated 4 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆90Updated 4 years ago
• sseung0703 / Zero-shot_Knowledge_Distillation
  Zero-Shot Knowledge Distillation in Deep Networks in ICML2019
  ☆48Updated 5 years ago
• amirhfarzaneh / lsoftmax-pytorch
  The Pytorch Implementation of L-Softmax
  ☆188Updated 6 years ago
• kkanshul / Hide-and-Seek
  ☆69Updated 3 years ago
• guoshengcv / CurriculumNet
  CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
  ☆29Updated 6 years ago
• Yochengliu / MLIC-KD-WSD
  Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)
  ☆58Updated 3 years ago
• YisenWang / symmetric_cross_entropy_for_noisy_labels
  Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
  ☆170Updated 3 years ago
• SHTUPLUS / ContextLab
  ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch
  ☆39Updated 5 years ago
• a1600012888 / clsa_pytorch
  Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
  ☆32Updated 4 years ago