Alternatives and similar repositories for D3M

Users that are interested in D3M are comparing it to the libraries listed below

• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆16Updated 2 years ago
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆17Updated last year
• MadryLab / pretraining-distribution-shift-robustness
  ☆14Updated last year
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆62Updated last year
• facebookresearch / ViP-MAE
  This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision
  ☆36Updated last year
• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆20Updated 9 months ago
• anshuman23 / InfDataSel
  Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…
  ☆22Updated last year
• MadryLab / bias-transfer
  ☆15Updated 2 years ago
• ethz-spylab / realistic-adv-examples
  Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]
  ☆20Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• Model-GLUE / Model-GLUE
  ☆13Updated 8 months ago
• vasusingla / simple-data-attribution
  A simple and efficient baseline for data attribution
  ☆11Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• formll / resolving-scaling-law-discrepancies
  ☆19Updated 10 months ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆30Updated 2 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
• uclaml / PDE
  Official repo of Progressive Data Expansion: data, code and evaluation
  ☆29Updated last year
• mcleish7 / gemstone-scaling-laws
  ☆24Updated 3 months ago
• poloclub / robust-principles
  Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
  ☆23Updated last year
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• VITA-Group / Shake-to-Leak
  ☆14Updated 2 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆35Updated 6 months ago
• MadryLab / rethinking-backdoor-attacks
  ☆16Updated last year
• snu-mllab / Neural-Relation-Graph
  Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
  ☆15Updated last year
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆49Updated 2 years ago
• lapisrocks / DiscreteAdversarialDistillation
  [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"
  ☆12Updated 11 months ago
• weichen-yu / LM-Extraction
  ☆42Updated last year