cleanlab

Cleanlab is an open-source data-centric AI package designed to help data scientists and machine learning engineers find and fix errors in datasets. By automatically detecting label errors, outlier data points, and ambiguous annotations, it empowers teams to improve model performance without manually inspecting every single data point. Built on the principle that data quality matters more than model complexity, Cleanlab integrates seamlessly with popular machine learning frameworks like scikit-learn, PyTorch, and TensorFlow. It provides robust algorithms to clean both classification and regression datasets, ensuring reliable AI pipelines and trustworthy real-world machine learning deployments.