Investigating approaches for computing Edit Distance of 2 strings

One of recommender system i built was using streamlit and google colab to build that model, you all can be recommended with this website. Technology i use is cosine-similarity from sklearn's library. This will help you to find movies that are similar to what movie you're looking for

Python implementation of binary similarity and distance measures.

Similarity between faces: One person resembles another person to a large degree. This can lead to many problems facing security surveillance systems. Facial recognition systems have difficulty distinguishing between the main person and other people who are highly similar in terms of features.

A Java application which finds similar strings based on common substrings

batchwise Kabsch test with Jimmy Charnley's calculate_rmsd (https://github.com/charnley/rmsd) on multiple CPUs

Large scale sparse similarity calculation with tools for parallelisation and incorporation of hierarchical domain knowledge

A simple npm utility module for obtaining similar commands in Discord Bots projects.

Locality-sensitive hashing algorithm to identify similar messages. Designed for a range of security and digital forensic applications.

ASSA, central to the Agape approach, deeply analyzes datasets, delivering metrics, rankings, and evaluations.

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The static model of movie recommendation system using tmdb data set of movies

Analysis of the discography of modern music bands, applying multivariate analysis, machine learning and natural language processing techniques.

Activity from UiPath that can be able to look for similarity between terms in a Data Table.

Vectorization of Text ---> finding Text_similarity ---> Recommending top 4 similar_Articles

Similarity based TOPSIS with linguistic-quantifier based aggregation using OWA

Document similarity application with CPP