Glob for C++17
Entity resolution for Elasticsearch.
A robust name matching library for Node.js that combines multiple string similarity algorithms for optimal name matching performance.
Compares two names and gives a score or similarity percentage.
A library for matching and comparing company names using a fine-tuned sentence transformer model
Packages for downloading the World Checklist of Vascular Plants (WCVP) and resolving plant names to it
Find the best fuzzy match for a natural language string in a set of hundreds of thousands of strings in a split second.
Name Matching ML model for entity resolution and transaction monitoring
Deep fuzzy matching people and company names for multilingual entity resolution using representation learning
Extract the components of a person or couples full name, from free form text
A simple python class for fuzzy name matching
Sentence similarity searching with SentenceTransformer
Intelligent company name cleaning and normalization for Python. Entity resolution for messy data with fuzzy matching.
Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge
Entity-resolution pipeline for matching analyst and brokerage identities across LSEG-style report data and IBES reference files.
🔗 公司名称智能匹配系统 | 三重相似度算法 · 繁简体自动统一 · 专业Excel报告 · 完全免费离线运行
Repository associated to the publication: Llavero-Pasquina, M. (2025) Driving ecologically unequal exchange: A global analysis of multinational corporations’ role in environmental conflicts
A production-ready Python library for cross-script fuzzy name matching between Arabic and Latin (French/English) romanised Algerian names. Built for deduplication, record linkage, and identity resolution in Algerian administrative datasets.
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