26 skills found
tdebatty / Java LSHA Java implementation of Locality Sensitive Hashing (LSH)
JorenSix / TarsosLSHA Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.
YahooArchive / Optimal LSHThis package provides an efficient implementation of locality-sensitve hashing (LSH)
dataplayer12 / Fly LSHAn implementation of efficient LSH inspired by fruit fly brain
guofei9987 / PyLSHashLocality Sensitive Hashing, fuzzy-hash， min-hash, simhash, aHash, pHash, dHash。基于 Hash值的图片相似度、文本相似度
ALShum / MinHashLSHJava implementation for MinHash and LSH for finding near duplicate documents as measured by Jaccard similarity.
beckgael / Mean Shift LSHScala/Spark implementation of Distributed Nearest Neighbours Mean Shift using LSH
munnafaisal / Deep Object Search With HashSearch your object with hash
EastTower16 / LLMDataDistilldistill large scale web page text
shaltielshmid / MinHashSharpA Robust Library in C# for Similarity Estimation
linhongseba / Product DeduplicationA practical implementation for product deduplication using TFIDF and Super Bit LSH
lizdotsh / Minlizhashsimple from scratch implementation of the MinHash LSH algorithm
justinfargnoli / LshforestAn implementation of LSH Forrest based off of the following paper (http://infolab.stanford.edu/~bawa/Pub/similarity.pdf).
theatina / CryptoRecommendationRecommendation System on cryptocurrency, using data collected from users' tweets + 10-Fold Cross Validation ( Based on the cryptocoins from each user's tweets, the program runs algorithms on the data, resulting in the recommendation of other cryptocoins for each user) ( readme in greek but soon to be translated in English )
emchristiansen / CharikarLSHImplementation of Moses Charikar's LSH scheme in C++
RikilG / Locality Sensitive HashingAn implementation of Locality sensitive hashing
huzaifakhan04 / Music Recommendation Web Application Based On Rhythmic Similarity Using Locality Sensitive HashingThis repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.
ronald-smith-angel / Dataset Deduplication SparkmlDataset deduplication using the spark ML lib and Scala
tmmlaarhoven / CpsieveProof-of-concept implementation of the CPSieve algorithm, described in the paper "Efficient (ideal) lattice sieving using cross-polytope LSH"
IdeasLabUT / Latent Space HawkesPython implementation of the Latent Space Hawkes (LSH) model for continuous-time dynamic networks
