Alternatives and similar repositories for bayesian-tda:

Users that are interested in bayesian-tda are comparing it to the libraries listed below

• MadryLab / datamodels
  ☆28Updated last year
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• r-three / mats
  ☆30Updated 9 months ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• yangarbiter / rare-spurious-correlation
  Understanding Rare Spurious Correlations in Neural Network
  ☆12Updated 2 years ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆30Updated 2 years ago
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆22Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆48Updated 2 years ago
• harshays / inputgradients
  Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)
  ☆13Updated 2 years ago
• JJchy / CG_score
  Data Valuation without Training of a Model, submitted to ICLR'23
  ☆23Updated 2 years ago
• anshuman23 / InfDataSel
  Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…
  ☆22Updated 11 months ago
• js-d / sim_metric
  ☆35Updated last year
• pomonam / jax-influence
  A simple Jax implementation of influence functions.
  ☆16Updated last year
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆71Updated 11 months ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆28Updated last year
• uiuctml / fair-classification
  Post-processing for fair classification
  ☆13Updated 2 weeks ago
• VITA-Group / Robust_Weight_Signatures
  [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
  ☆16Updated 2 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated last year
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• MadryLab / pretraining-distribution-shift-robustness
  ☆14Updated last year
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• pratyushmaini / localizing-memorization
  Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"
  ☆18Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago