Based on keywords between documents similarity is calculater
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Updated
Apr 4, 2017 - Python
Based on keywords between documents similarity is calculater
Investigating approaches for computing Edit Distance of 2 strings
MinHash Example
A Java console application that implements the factionality of the knn algorithm to find the similarity between a new user's location preferences and the locations. The binary data (0,1) are the location characteristics.
An app showing similar movie posters for popular movies
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.
Python, spaCy module, word similarity, model compression( en_core_web_sm vs en_core_web_md)
ASSA, central to the Agape approach, deeply analyzes datasets, delivering metrics, rankings, and evaluations.
Computer Visについてについて
Image similarity comparison simulating human perception (multiscale SSIM-Enhanced in TypeScript & WASM).
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