Alternatives and similar repositories for pytorch-randaugment

Users that are interested in pytorch-randaugment are comparing it to the libraries listed below

• google-research / remixmatch
  ☆129Updated 2 years ago
• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 2 years ago
• CoinCheung / fixmatch-pytorch
  90%+ with 40 labels. please see the readme for details.
  ☆37Updated 4 years ago
• seominseok0429 / label-smoothing-visualization-pytorch
  When Does Label Smoothing Help?_pytorch_implementationimp
  ☆124Updated 5 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆94Updated 5 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• jeromerony / dml_cross_entropy
  Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
  ☆168Updated 2 years ago
• alinlab / cs-kd
  Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)
  ☆107Updated 4 years ago
• ildoonet / unsupervised-data-augmentation
  Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
  ☆147Updated 4 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆97Updated last year
• perrying / pytorch-consistency-regularization
  PyTorch implementation of consistency regularization methods for semi-supervised learning
  ☆78Updated 4 years ago
• LayneH / self-adaptive-training
  [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
  ☆129Updated 3 years ago
• HanxunH / Active-Passive-Losses
  [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
  ☆137Updated 10 months ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆124Updated 4 years ago
• EricArazo / PseudoLabeling
  Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
  ☆153Updated 4 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆106Updated 4 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 2 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• shamangary / Pytorch-Stochastic-Depth-Resnet
  Pytorch Implementation of Deep Networks with Stochastic Depth
  ☆63Updated 6 years ago
• AlanChou / Truncated-Loss
  PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018
  ☆128Updated 5 years ago
• mdiephuis / SimCLR
  Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
  ☆82Updated last year
• VisionLearningGroup / visda21-dev
  ☆46Updated 3 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 2 years ago
• maple-research-lab / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆81Updated last year
• salesforce / MoPro
  MoPro: Webly Supervised Learning
  ☆87Updated 2 weeks ago
• alldbi / SuperMix
  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
  ☆92Updated 3 years ago
• mileyan / simple_shot
  ☆132Updated 4 years ago
• Boyiliee / MoEx
  MoEx (Moment Exchange)
  ☆141Updated 3 years ago
• yulu0724 / EmbeddingDistillation
  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
  ☆76Updated 6 years ago
• yxgeee / BAKE
  Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
  ☆82Updated 3 years ago