lsh-algorithm

ritchie46/lsh-rs

Locality Sensitive Hashing in Rust with Python bindings

guofei9987/pyLSHash

Locality 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

xiaogp/recsys_faiss

一个基于 fasttext + faiss 的商品内容相关推荐实现，nginx+uwsgi+flask / gunicorn+uvicorn+fastapi 提供api查询接口，增加Spark实现 Ansj+Word2vec+LSH+Phoenix

oertl/probminhash

ProbMinHash – A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity

RishabhMaheshwary/query-attack

A Query Efficient Natural Language Attack in a Black Box Setting

oertl/treeminhash

TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation

munnafaisal/Deep-Object-Search-With-Hash

Search your object with hash

ZiadSheriif/IntelliQuery

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

muyuuuu/high-performance-LSH

使用线程池的高并发 LSH 算法， C++ 实现

shaltielshmid/MinHashSharp

A Robust Library in C# for Similarity Estimation

justinfargnoli/lshforest

An implementation of LSH Forrest based off of the following paper (http://infolab.stanford.edu/~bawa/Pub/similarity.pdf).

lehuutrung1412/ImageRetrieval

Build content-based image retrieval system using deep learning, applied some large scale similarity search technicals like Kdtree, LSH, Faiss.

theatina/CryptoRecommendation

Recommendation 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 )

Alexdruso/ID2222-Data-Mining-Sanvito-Stuart

Lab assignments for the course ID2222-Data Mining at KTH

jianshu93/DartUniFrac

Approximate UniFrac via Weighted MinHash 🦀

kochlisGit/Big-Data-Algorithms

Implementation of algorithms for big data using python, numpy, pandas.

Vedant2311/Data-Mining-Algorithms

Repository for all assignments of the course COL761: Data Mining (Fall 2020), taught at IIT Delhi

aidaLabDEI/MOMENTI-motifs

Scalable mining of multidimensional time series motifs.

ashkanans/text-similarity-and-clustering

A Python project implementing shingling, minwise hashing, and locality-sensitive hashing (LSH) for text similarity detection, along with feature engineering and clustering analysis on real-world datasets. Includes code, visualizations, and key insights for efficient data processing and analysis.

DevPhamPham/NCKH_PySpark

eduardosantoshf/most-frequent-itemsets

MDLE First Assignment - The objective of this project was to implement the A-Priori algorithm to obtain the most frequent itemsets for a list of conditions for a large set of patients, obtaining then associations between conditions by extracting some rules, and also to implement and apply LSH to identify similar news articles from a dataset.

ludwigfriborg/SwiftNilsimsa

Nilsimsa implementation as a swift package

MenesesGHZ/locality-sensitive-hashing

LSH algorithm made with C++

MohammadJavadArdestani/NLP-with-Classification-and-Vector-Spaces

Mrugank97/KNNavigate

Scaling Up Nearest Neighbor Search : How Dataset Size and Dimensionality Affect KNN Variants

Muvels/LSHEngine

This repo aims to implement an modular engine for Locality-Sensitive Hashing (LSH).

Sitaras/Software-Development-for-Algorithmic-Problems_Project-1

Vectors - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with L2 metric.

SwamiKannan/Natural-Language-Processing-Specialization

Coursera's Natural Language Processing specialization

jianshu93/dartminhash-rs

Fast Sketching for Weighted Sets

MajaJuri/Analiza-velikih-skupova-podataka

Implementacija algoritama predstavljenih na predmetu Analiza velikih skupova podataka (AVSP)

Meet-Modi/minibaseDB-vector-LSH

A 100D vector database using minibase storage engine

SofiaKyriakiMachaira/SoftwareDevforAlgorithmicProblems

Software Development for Algorithmic Problems (UoA) Assignments

alexrr04/document-similarity-detection-with-LSH

This project implements Locality-Sensitive Hashing (LSH) for efficient document similarity detection. Instead of performing exhaustive pairwise comparisons between documents, LSH uses probabilistic techniques to quickly identify similar document pairs, making it particularly effective for large document collections.

FrancescoMonaco/span

Euclidean Minimum Spanning Tree approximation with a parameterless LSH index

Lefteris-Souflas/Movie-Rating-User-Similarity

Explored Jaccard distance, Min-Hashing, and LSH for user similarity in a movie rating dataset. Tasks involve dataset preprocessing, exact Jaccard Similarity computation, Min-Hash signatures, and LSH implementation. Results and observations are documented in code, output files, and a report