📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
Go metrics for calculating string similarity and other string utility functions
🦀📏 Rust library to compare strings (or any sequences). 25+ algorithms, pure Rust, common interface, Unicode support.
A fuzzy matching string distance library for Scala and Java that includes Levenshtein distance, Jaro distance, Jaro-Winkler distance, Dice coefficient, N-Gram similarity, Cosine similarity, Jaccard similarity, Longest common subsequence, Hamming distance, and more..
A Clojure library for querying large data-sets on similarity
A search system that analyzes short video snippets (2–5 secs) and finds highly accurate matches using keyframe-based perceptual hashing. Selfhosted Video Shazam.
Spark functions to run popular phonetic and string matching algorithms
A simple perceptual hash library in pure Go.
Expiremental Speech Recognition System using VHDL & MATLAB.
Calculate various string metrics efficiently in Haskell
PySpark phonetic and string matching algorithms
A collection of metrics and phonetic algorithms for fuzzy string matching in Elixir.
Optimizing bit-level Jaccard Index and Population Counts for large-scale quantized Vector Search via Harley-Seal CSA and Lookup Tables
➗ SIMD-accelerated bitwise hamming distance Python module for hexadecimal strings
String Comparision in C#.NET
A collection of string comparisons algorithms
NxM puzzle solver using graph traversal algorithms
Cinecomic is an automated movie-to-comic generator. Input a video and it generates a comic book for the same complete with a comic style and dialogue bubbles
Python implementation of several sequence alignment algorithms such as Waterman-Smith-Beyer, Gotoh, and Needleman-Wunsch intended to calculate distance, show alignment, and display the underlying matrices.
A semantic search indexing system designed to efficiently retrieve top matching results from a database of 20 million documents. Given the embedding of a search query, it quickly identifies and returns the most relevant documents
Add a description, image, and links to the hamming-distance topic page so that developers can more easily learn about it.
To associate your repository with the hamming-distance topic, visit your repo's landing page and select "manage topics."