Alternatives and similar repositories for modeldiff:

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

• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆44Updated 2 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆46Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆95Updated last year
• js-d / sim_metric
  ☆35Updated last year
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 3 years ago
• MadryLab / datamodels
  ☆28Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆57Updated last year
• MadryLab / DebuggableDeepNetworks
  ☆39Updated 3 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• MadryLab / rethinking-backdoor-attacks
  ☆16Updated last year
• MadryLab / pretraining-distribution-shift-robustness
  ☆14Updated 11 months ago
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆41Updated last year
• MadryLab / BREEDS-Benchmarks
  ☆54Updated 4 years ago
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆21Updated last year
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆39Updated 2 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated 10 months ago
• google-research / jax-influence
  ☆60Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• sayakpaul / robustness-foundation-models
  This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
  ☆71Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆29Updated 2 years ago
• ethz-spylab / superhuman-ai-consistency
  ☆28Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆28Updated last year
• rahimentezari / PermutationInvariance
  ☆23Updated 2 years ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated 3 weeks ago
• google-research / OOD-failures
  ☆24Updated 3 years ago