A Doctor for your data

• UpdatedJan 14, 2025
• Python

A curated, but incomplete, list of data-centric AI resources.

• UpdatedJun 26, 2024

Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets

• UpdatedDec 26, 2023
• HTML

Contains implementations of data-centric approaches for improving semantic segmentation on satellite imagery.

• UpdatedApr 10, 2025
• Python

A list of data-efficient and data-centric LLM (Large Language Model) papers. Our Survey Paper: Towards Efficient LLM Post Training: A Data-centric Perspective

• UpdatedFeb 19, 2025

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)

• UpdatedMar 20, 2023
• Jupyter Notebook

(Pattern Recognition 2025) Towards Trustworthy Dataset Distillation

• UpdatedDec 8, 2024
• Python

Enhancing Efficiency in Multidevice Federated Learning through Data Selection

• UpdatedApr 15, 2024
• Python

TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)

• UpdatedMar 14, 2024
• Jupyter Notebook

Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)

• UpdatedMar 8, 2023
• Jupyter Notebook

You can’t handle the (dirty) truth: Data-centric insights improve pseudo-labeling

• UpdatedJun 30, 2024
• Jupyter Notebook

A multi-view panorama of Data-Centric AI: Techniques, Tools, and Applications (ECAI Tutorial 2024)

• UpdatedOct 19, 2024

Implementation of data typology for imbalanced datasets.

• UpdatedJun 4, 2023
• MATLAB

Data Clustering using Expectation Maximization algorithm. To cite this Original Software Publication:https://www.sciencedirect.com/science/article/pii/S2352711021001771

• UpdatedOct 25, 2021
• R