一个开源、高可扩展性的 Java 实体解析工具包。
entity-matching 开源项目推荐(107 个)
entity-matching 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 107 个仓库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
Entity Matching Model solves the problem of matching company names between two possibly very large datasets.
An open-source library that leverages Python’s data science ecosystem to build powerful end-to-end Entity Resolution workflows.
CLK hash: hash pii for entity matching
MetaSRA: normalized sample-specific metadata for the Sequence Read Archive
Code for the paper "CollaborEM: A Self-supervised Entity Matching Framework Using Multi-features Collaboration". TKDE 2021.
Compound AI toolchain for fast and accurate entity matching, powered by LLMs.
Code for the paper "PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching". VLDB 2023.
The PyDI framework provides methods for end-to-end data integration. The framework covers all steps of the integration process, including schema matching, data translation, entity matching, and data fusion. The framework offers traditional string-based methods as well as modern LLM- and embedding-based techniques for these tasks.
Spark Search - high performance advanced search features based on Apache Lucene
Code for the paper "Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching" (COLING 2025)
Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"
Alignment, a collaborative, system aided, user driven ontology/vocabulary matching and validation platform.
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching
A collection of awesome resources regarding Record Linkage.
WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and result evaluation.
[SIGMOD2027] CE-RAG4EM: Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Batch Processing Framework
关于这个话题
- 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-matching。
- 该话题在 GitHub 上共有 107 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1227 Star,覆盖 6 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。