Alternatives and similar repositories for thanos-code

Users that are interested in thanos-code are comparing it to the libraries listed below

• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆71Updated 11 months ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• RenkunNi / MetaContrastive
  The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".
  ☆19Updated 2 years ago
• zeyademam / active_learning
  Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…
  ☆53Updated 3 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆49Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆22Updated 2 years ago
• mansheej / data_diet
  ☆106Updated last year
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆28Updated last year
• val-iisc / Saddle-LongTail
  [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
  ☆24Updated last year
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• AmirooR / IntraOrderPreservingCalibration
  ☆12Updated 2 years ago
• EfficientTraining / LabelBench
  ☆43Updated 6 months ago
• google-deepmind / distribution_shift_framework
  This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…
  ☆83Updated 2 months ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆72Updated 2 months ago
• Johswald / learning_where_to_learn
  ☆38Updated 6 months ago
• arobey1 / mbdg
  ☆36Updated 3 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆35Updated 4 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆56Updated 2 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆91Updated 4 years ago
• jhaochenz96 / spectral_contrastive_learning
  ☆20Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• HazyResearch / hidden-stratification
  Combating hidden stratification with GEORGE
  ☆63Updated 3 years ago
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆48Updated 9 months ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 2 years ago
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆61Updated last month