Similarity Metrics
Showing 8 of 8 projects
A Python library for computing distances between sequences with 30+ algorithms, pure Python implementation, and optional external libraries for speed.
A Ruby extension library implementing multiple algorithms for approximate string matching, searching, and comparison.
A collaborative filtering recommendation engine library for Go, implementing item-based and user-based approaches.
A Go library implementing collaborative filtering algorithms for recommendation systems, including ALS, Bayesian, and similarity-based approaches.
A .NET library implementing various string similarity and distance metrics like Levenshtein, Jaro-Winkler, and Soundex.
A Go package for calculating Levenshtein distance and similarity metrics with customizable edit costs and prefix bonuses.
An Elixir library providing fast, comprehensive string similarity metrics for approximate matching.
A simple Java library implementing the K-Nearest Neighbor algorithm for supervised learning with multiple similarity metrics.
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