#数据仓库#The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
#计算机科学#Refine high-quality datasets and visual AI models
A Doctor for your data
#自然语言处理#The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
#计算机科学#Interactively explore unstructured datasets from your dataframe.
#计算机科学#A curated, but incomplete, list of data-centric AI resources.
#计算机科学#Automatically find issues in image datasets and practice data-centric computer vision.
#自然语言处理#Curated list of open source tooling for data-centric AI on unstructured data.
#计算机科学#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 (Highlight).
#大语言模型#[ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
#自然语言处理#[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
#自然语言处理#[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
#计算机科学#pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
#计算机科学#Introduction to Data-Centric AI, MIT IAP 2023 🤖
#计算机科学#OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
#自然语言处理#Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
#计算机科学#Papers about training data quality management for ML models.
nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets