:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
entity-resolution 开源项目推荐(809 个)
实体解析(也称为数据匹配、数据链接、记录链接等许多术语)是在数据集中查找跨不同数据源(例如数据文件、书籍、网站和数据库)指向同一实体的任务。当基于可能共享也可能不共享共同标识符(例如数据库键、URI、国家身份号码)的实体连接不同数据集时,实体解析是必要的,这可能是因为记录形状、存储位置或管理者风格或偏好存在差异。
- 创建者Halbert L. Dunn
- 发布1946
- 维基Wikipedia
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 809 个仓库Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
Scalable master data management, identity resolution, entity resolution, and deduplication using ML
A powerful and modular toolkit for record linkage and duplicate detection in Python
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
由深度学习驱动的设备内语音到意图引擎
🆔 Command line tool for deduplicating CSV files
🆔 Examples for using the dedupe library
A list of free data matching and record linkage software.
Recent trends of Entity Linking, Disambiguation, and Representation.
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
ReFinED is an efficient and accurate entity linking (EL) system.
Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain. This produces a Streamlit app, with MLOps instrumentation.
一个开源、高可扩展性的 Java 实体解析工具包。
🔎 Finds fuzzy matches between CSV files
Entity resolution for Elasticsearch.
PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning
List of entity resolution software and resources.
Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats hand-tuned Splink. Arrow-native/Rust, 250M rows in 11.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, 97 MCP tools + REST.
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- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/entity-resolution。
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