Alternatives and similar repositories for dataaugs

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

• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 5 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 3 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 4 years ago
• MadryLab / EditingClassifiers
  ☆96Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• modestyachts / cifar-10.2
  Host CIFAR-10.2 Data Set
  ☆13Updated 4 years ago
• google-research / understanding-curricula
  ☆34Updated 4 months ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆57Updated 4 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆36Updated 3 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆30Updated 5 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆40Updated 3 years ago
• js-d / sim_metric
  ☆37Updated 2 years ago
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆21Updated 3 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• locuslab / perturbation_learning
  Learning perturbation sets for robust machine learning
  ☆65Updated 4 years ago
• NingMiao / InstaAug
  ☆12Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• YannDubs / Mini_Decodable_Information_Bottleneck
  Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
  ☆11Updated 4 years ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• JonasGeiping / fullbatchtraining
  Training vision models with full-batch gradient descent and regularization
  ☆38Updated 2 years ago