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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Refine high-quality datasets and visual AI models
A Doctor for your data
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
Interactively explore unstructured datasets from your dataframe.
A curated, but incomplete, list of data-centric AI resources.
Scalable data pre processing and curation toolkit for LLMs
Curated list of open source tooling for data-centric AI on unstructured data.
Metamapper is a data discovery and documentation platform for improving how teams understand and interact with their data.
[ICLR 2025] Improving Data Efficiency via Curating LLM-Driven Rating Systems
A library for detecting problematic data segments in structured and unstructured data with few lines of code.
Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
Lesson guide and textbook for "Data as a Science" course.
A tool for downloading from public image boards (which allow scraping) / preview your images & tags / edit your images & tags. Additional tabs for downloading other desired code repositories as well as S.O.T.A. diffusion and auto-tag/caption models for your purposes. Custom datasets can be added!
🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors (NeurIPS'24).
Client interface to Cleanlab Studio and the Trustworthy Language Model
Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation (EMNLP 2023)
A web service for semi-automated conversion of raw imaging data to BIDS
Curation of BIDS (CuBIDS): A sanity-preserving software package for processing BIDS datasets.
