Alternatives and similar repositories for OOD_Tutorial

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

• DeLightCMU / RSC
  This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020
  ☆165Updated 4 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆51Updated 4 years ago
• alsdml / StyleMix
  ☆33Updated 4 years ago
• tingxueronghua / pytorch-classification-advprop
  ☆108Updated 3 years ago
• hlzhang109 / DDG
  [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization
  ☆63Updated 2 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 5 years ago
• ynysjtu / ood_bench
  ☆49Updated 2 years ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆76Updated 3 years ago
• deep-real / M-ADA
  The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)
  ☆148Updated 5 years ago
• wutong16 / Adversarial_Long-Tail
  [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"
  ☆102Updated 4 years ago
• njulus / REFILLED
  This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".
  ☆49Updated 4 years ago
• lixiaotong97 / DSU
  [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …
  ☆162Updated 3 years ago
• yueatsprograms / ttt_cifar_release
  TTT Code Release
  ☆149Updated 5 years ago
• LiYingwei / ShapeTextureDebiasedTraining
  Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)
  ☆108Updated 2 years ago
• hehaodele / CIDA
  [ICML 2020] Continuously Indexed Domain Adaptation
  ☆119Updated 3 years ago
• ShipengWang / Adam-NSCL
  PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
  ☆64Updated 4 years ago
• RyanWangZf / PAC-Bayes-IB
  Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
  ☆49Updated 3 years ago
• BIT-DA / MetaSAug
  [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
  ☆61Updated 2 years ago
• zzzx1224 / SingleSampleGeneralization-ICLR2022
  ☆23Updated 3 years ago
• JoyHuYY1412 / DDE_CIL
  ☆60Updated 3 years ago
• Wangt-CN / CaaM
  [ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition
  ☆80Updated last year
• BIT-DA / CIRL
  [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"
  ☆155Updated 2 years ago
• xiaoboxia / T-Revision
  NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?
  ☆100Updated 4 years ago
• dvlab-research / MiSLAS
  Improving Calibration for Long-Tailed Recognition (CVPR2021)
  ☆149Updated 3 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆57Updated 2 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆49Updated last month
• vita-epfl / ttt-plus-plus
  [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• zaeemzadeh / OOD
  CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
  ☆22Updated 4 years ago
• nexuslrf / knowledge_consistency
  Codes for our ICLR2020 paper: Knowledge Consistency between Neural Networks and Beyond
  ☆16Updated 5 years ago
• Simon4Yan / Meta-set
  Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
  ☆37Updated 2 years ago