An R script that uses AI for data analysis on Deezer playlists, like looking for fuzzy duplicates, rank of genre and artists.
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Updated
Jan 8, 2025 - R
An R script that uses AI for data analysis on Deezer playlists, like looking for fuzzy duplicates, rank of genre and artists.
Levenshtein edit distance with memoized DP and closest-match search.
Calculate Jaro-Winkler string similarity from the terminal.
A high-performance TypeScript library for string similarity, distance algorithms, and text normalization utilities
End-to-end B2B payments reconciliation bot built with n8n. Automates matching of bank transactions against ERP payables using fuzzy name matching (Jaro-Winkler) and amount-tolerance rules. Classifies transactions as matched, pending, discrepant, or unmatched. Logs summaries to Google Sheets. Optional AI classification via Claude.
Aceh language dictionary API created using Golang
Detect lexical blending using similarity by approximate string matching and word vectors
fast fuzzy string matching for Python
Metricas de similaridade (Levenshtein, Jaro-Winkler, Dice)
Hybrid string similarity
Comprehensive string similarity metrics for Go: edit distance, token-based, phonetic — 15 algorithms, zero dependencies
Phishing detection using similarity (proximity) algorithms and typosquatting library
🧩 Enhance data accuracy with MakFuzz, a fuzzy matching engine that streamlines data cleaning and deduplication with powerful spelling and phonetic strategies.
A flexible fuzzy matching and string normalization engine for JavaScript.
A Lua/LuaJIT string similarity library using edit distance and similarity algorithms.
Python string distance/similarity CLI. Levenshtein, Hamming, Jaro-Winkler, cosine, LCS, fuzzy match, phonetic matching (Soundex, Metaphone). Zero dependencies.
Telegram bot, which takes IT slangs and outputs Formal mappings along with definitions
The main purpose of this project was to develop a matching algorithm in python to fuzzy classify people from a customer list as positive or negative based on a messy positive and negative database with a confidence score.
ABAP Did You Mean is a package for finding similar words or suggestions from a dictionary, inspired by "Did you mean?" functionality. It leverages distance and similarity algorithms for accurate suggestions.
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