Alternatives and similar repositories for GLOD

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

• amodas / PRIME-augmentations
  PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
  ☆41Updated 3 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 3 years ago
• XavierXiao / Likelihood-Regret
  Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020
  ☆50Updated 4 years ago
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆21Updated 4 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆40Updated 5 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 5 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆94Updated 5 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 4 years ago
• sato9hara / sgd-influence
  Python codes for influential instance estimation
  ☆56Updated 3 years ago
• andyzoujm / pixmix
  PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)
  ☆110Updated 3 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• facebookresearch / fisher_information_loss
  This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"
  ☆49Updated 4 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆30Updated 5 years ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 5 years ago
• google-research / understanding-curricula
  ☆34Updated 8 months ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated 2 years ago
• kundajelab / labelshiftexperiments
  Label shift experiments
  ☆17Updated 5 years ago
• joshr17 / IFM
  Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
  ☆47Updated 3 years ago
• Manuscrit / Area-Under-the-Margin-Ranking
  Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf
  ☆22Updated 6 years ago
• Kennethborup / self_distillation
  Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
  ☆19Updated 4 years ago
• google-research / adamatch
  ☆67Updated 3 years ago
• megvii-research / FSSD_OoD_Detection
  [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
  ☆79Updated 4 years ago
• JonasGeiping / dataaugs
  ☆18Updated 3 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆125Updated 2 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆89Updated 3 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆57Updated 4 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 5 years ago
• VITA-Group / Nasty-Teacher
  [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…
  ☆82Updated 4 years ago