Alternatives and similar repositories for GradAug

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

• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• KentoNishi / Augmentation-for-LNL
  [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
  ☆112Updated 3 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 3 years ago
• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆122Updated 3 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆104Updated 3 years ago
• snu-mllab / PuzzleMix
  Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
  ☆159Updated 3 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• google-research / reassessed-imagenet
  Labels and other data for the paper "Are we done with ImageNet?"
  ☆193Updated 3 years ago
• mpatacchiola / self-supervised-relational-reasoning
  Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
  ☆143Updated last year
• LayneH / self-adaptive-training
  [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
  ☆128Updated 3 years ago
• pairlab / CBS
  Curriculum by Smoothing (NeurIPS 2020)
  ☆39Updated 4 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆94Updated 5 years ago
• owruby / shake-drop_pytorch
  PyTorch implementation of shake-drop regularization
  ☆55Updated 5 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 3 years ago
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆69Updated 2 years ago
• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆53Updated 3 years ago
• Boyiliee / MoEx
  MoEx (Moment Exchange)
  ☆141Updated 4 years ago
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆40Updated 4 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• MECLabTUDA / Super_Selfish
  ☆93Updated 4 years ago
• hukkai / rescaling
  [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?
  ☆34Updated 3 years ago
• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 3 years ago
• akwasigroch / Pretext-Invariant-Representations
  Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
  ☆89Updated 4 years ago
• bamps53 / SeesawLoss
  ☆26Updated 4 years ago
• dvirsamuel / DRAGON
  [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"
  ☆28Updated 4 years ago
• ankandrew / online-label-smoothing-pt
  Implementation of Online Label Smoothing in PyTorch
  ☆94Updated 2 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆105Updated 4 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆87Updated 4 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
• alldbi / SuperMix
  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
  ☆92Updated 3 years ago