#Data-centric-ai
Showing 16 of 16 repositories tagged #data-centric-ai, ranked by stars
Cleanlab's open-source library is 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
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Interactively explore unstructured datasets from your dataframe.
Automatically find issues in image datasets and practice data-centric computer vision.
A curated, but incomplete, list of data-centric AI resources.
Resources for Data Centric AI
Curated list of open source tooling for data-centric AI on unstructured data.
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Full Score, Highlight).
🏭 Mega Scale Multimodal DataPipeline for SOTA Foundation Models
Notebooks demonstrating example applications of the cleanlab library
Papers about training data quality management for ML models.
[ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
A curated list of awesome open source tools and commercial products to catalog, version, and manage data 🚀
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.