Alternatives and similar repositories for fish

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

• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆108Updated last year
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆91Updated 4 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• ssnl / moco_align_uniform
  MoCo with Alignment and Uniformity Loss.
  ☆62Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• vita-epfl / ttt-plus-plus
  [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆72Updated 4 years ago
• htdt / self-supervised
  Whitening for Self-Supervised Representation Learning | Official repository
  ☆129Updated 2 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 2 years ago
• Johswald / learning_where_to_learn
  ☆38Updated 9 months ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 4 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆51Updated 4 years ago
• Kim-Minseon / RoCL
  Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)
  ☆171Updated 2 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• awslabs / aws-cv-task2vec
  Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)
  ☆122Updated 2 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆56Updated 3 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• bethgelab / robustness
  Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
  ☆137Updated 2 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆77Updated 4 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 4 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆98Updated 2 years ago
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆73Updated 3 years ago
• RenkunNi / MetaAug
  ☆28Updated 3 years ago
• yueatsprograms / ttt_imagenet_release
  TTT Code Release
  ☆116Updated 5 years ago
• kibok90 / imix
  ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
  ☆78Updated last year
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago