Awesome GitHub RepositoriesRecord Clustering

Dedupe is a machine learning tool for entity resolution that identifies and merges duplicate records in structured datasets. It uses active learning to train a matching model from human-labeled examples, learning which field-level similarities are most important for detecting duplicates without requiring manual rule writing. The system combines fingerprint-based blocking to reduce pairwise comparisons, enabling efficient matching on large datasets, and groups scored record pairs into clusters using a configurable similarity threshold. The tool provides multiple interfaces for different workfl