Alternatives and similar repositories for bayesian-tda

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

• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated 2 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆83Updated last year
• MadryLab / datamodels
  ☆31Updated 2 years ago
• BaeHeeSun / NPC
  ☆25Updated last year
• ahujak / IB-IRM
  ☆31Updated 4 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆52Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• parameterlab / apricot
  Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024
  ☆22Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 3 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• JJchy / CG_score
  Data Valuation without Training of a Model, submitted to ICLR'23
  ☆22Updated 2 years ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆40Updated last year
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• uiuctml / fair-classification
  Post-processing for fair classification
  ☆16Updated 5 months ago
• PolinaKirichenko / deep_feature_reweighting
  ☆108Updated 2 years ago
• KempnerInstitute / llm_uncertainty
  Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"
  ☆10Updated last year
• r-three / mats
  ☆32Updated last year
• alextamkin / active-learning-pretrained-models
  Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…
  ☆11Updated 3 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 2 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆51Updated 4 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• yangarbiter / rare-spurious-correlation
  Understanding Rare Spurious Correlations in Neural Network
  ☆12Updated 3 years ago
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆36Updated last year
• JonasGeiping / dataaugs
  ☆18Updated 3 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆68Updated 2 years ago
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆23Updated 3 years 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 / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago