Alternatives and similar repositories for DOCTOR

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

• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated 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…
  ☆54Updated 4 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆26Updated 7 months ago
• MadryLab / EditingClassifiers
  ☆96Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆47Updated 2 years ago
• sayakpaul / robustness-foundation-models
  This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
  ☆72Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆52Updated 2 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆30Updated 4 years ago
• mansheej / data_diet
  ☆110Updated 2 years ago
• harshays / inputgradients
  Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)
  ☆13Updated 2 years ago
• MadryLab / data-transfer
  ☆36Updated 3 years ago
• google-research / understanding-curricula
  ☆34Updated 7 months ago
• RenkunNi / MetaContrastive
  The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".
  ☆18Updated 3 years ago
• MadryLab / datamodels
  ☆31Updated 2 years ago
• gifford-lab / overinterpretation
  Code for Overinterpretation paper
  ☆19Updated 2 years ago
• data-centric-ai / dcbench
  A benchmark of data-centric tasks from across the machine learning lifecycle.
  ☆72Updated 3 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆42Updated 3 years ago
• sayakpaul / par-cvpr-21
  Contains notebooks for the PAR tutorial at CVPR 2021.
  ☆36Updated 4 years ago
• hankyul2 / DomainAdaptation
  Domain Adaptation
  ☆23Updated 4 years ago
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆152Updated 2 years ago
• JonasGeiping / dataaugs
  ☆18Updated 3 years ago
• HazyResearch / domino
  ☆140Updated 2 years ago
• iPieter / ethical-adversaries
  ⚖️ Code for the paper "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning".
  ☆11Updated 3 years ago
• imirzadeh / CL-Gym
  CL-Gym: Full-Featured PyTorch Library for Continual Learning
  ☆40Updated last year
• socialfoundations / benchbench
  BenchBench is a Python package to evaluate multi-task benchmarks.
  ☆18Updated 2 months ago
• ihsaan-ullah / meta-album
  Meta-Album meta-dataset for few-shot image classification
  ☆25Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆111Updated 2 years ago