Alternatives and similar repositories for REPAIR

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

• themrzmaster / git-re-basin-pytorch
  Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
  ☆78Updated 2 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• GuillaumeLeclerc / fastargs
  Python library for argument and configuration management
  ☆55Updated 2 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆36Updated 3 years ago
• libffcv / ffcv-imagenet
  Train ImageNet *fast* in 500 lines of code with FFCV
  ☆149Updated last year
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆87Updated 2 years ago
• preetum / cifar5m
  CIFAR-5m dataset
  ☆39Updated 4 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• rahimentezari / PermutationInvariance
  ☆23Updated 3 years ago
• juntang-zhuang / GSAM
  PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)
  ☆144Updated 3 years ago
• sidak / otfusion
  Model Fusion via Optimal Transport, NeurIPS 2020
  ☆151Updated 3 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 5 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆62Updated 2 years ago
• apple / learning-subspaces
  ☆133Updated 4 years ago
• samuelstanton / gnosis
  Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.
  ☆33Updated 2 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆83Updated 3 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated 2 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆40Updated 3 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆109Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆37Updated last year
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆35Updated 3 years ago
• js-d / sim_metric
  ☆37Updated 2 years ago
• andyzoujm / pixmix
  PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)
  ☆109Updated 3 years ago