Glob for C++17

Entity resolution for Elasticsearch.

Compares two names and gives a score or similarity percentage.

Find the best fuzzy match for a natural language string in a set of hundreds of thousands of strings in a split second.

Extract the components of a person or couples full name, from free form text

A simple python class for fuzzy name matching

Packages for downloading the World Checklist of Vascular Plants (WCVP) and resolving plant names to it

Sentence similarity searching with SentenceTransformer

Transliterated Arabic Name Encoder

Projek Tugas Akhir 1301168591

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

Repository associated to the publication: Llavero-Pasquina, M. (2024) A Global Analysis of Multinational Corporations' role in Environmental Conflicts