:dart: String metrics and phonetic algorithms for Scala (e.g. Dice/Sorensen, Hamming, Jaccard, Jaro, Jaro-Winkler, Levenshtein, Metaphone, N-Gram, NYSIIS, Overlap, Ratcliff/Obershelp, Refined NYSIIS, Refined Soundex, Soundex, Weighted Levenshtein).

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Go metrics for calculating string similarity and other string utility functions

set of functions and operators for executing similarity queries

Hierarchical, iterative clustering for analysis of transcriptomics data in R

Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.

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..

String similarity functions, String distance's, Jaccard, Levenshtein, Hamming, Jaro-Winkler, Q-grams, N-grams, LCS - Longest Common Subsequence, Cosine similarity...

SetSketch: Filling the Gap between MinHash and HyperLogLog

tgTrax: Telegram User Activity Tracker & Correlation Analyzer - Monitor online patterns, detect user relationships, and visualize temporal behavior

Out-of-the-box analysis and reporting tools for twitter

Catalyst.Segmentation

Implementation of string distance algorithms in Dart

High-performance and memory efficient native C++ text similarity algorithms for Node.js

Distance/Similarity functions for Bag of Words, Strings, Vectors and more.

Collection of string similarity and distance algorithms in PHP including Levenshtein, Damerau-Levenshtein, Jaro-Winkler, and more

Optimizing bit-level Jaccard Index and Population Counts for large-scale quantized Vector Search via Harley-Seal CSA and Lookup Tables

Skin lesion segmentation is one of the first steps towards automatic Computer-Aided Diagnosis of skin cancer. Vast variety in the appearance of the skin lesion makes this task very challenging. The contribution of this paper is to apply a power foreground extraction technique called GrabCut for automatic skin lesion segmentation in HSV color space with minimal human interaction. Preprocessing was performed for removing the outer black border. Jaccard Index was measured to evaluate the performance of the segmentation method. On average, 0.71 Jaccard Index was achieved on 1000 images from ISIC challenge 2017 Training Dataset.

TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation

Clustering similar tweets using K-means clustering algorithm and Jaccard distance metric

iamge Retrieva

Highly optimized search for similar multisets

Statistical test of similarity between binary data using the Jaccard/Tanimoto coefficients

PPJoin and P4Join Python 3 implementation

Comprehensive Machine Learning Techniques: Metrics, Classifiers, and Evaluation

Simple API to recommend songs

calculate jaccard similarity using mapreduce framework

Code for Quora Competition on Kaggle

An ML+NLP solution for linking misspelled titles with the true titles

Implementation of Machine Learning metrics for Pharo