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

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

MagicPIG: LSH Sampling for Efficient LLM Generation

A Query Efficient Natural Language Attack in a Black Box Setting

Search your object with hash

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

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

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

The assignment comprises two main tasks: implementing LSH to identify similar businesses based on user ratings and developing various collaborative filtering recommendation systems to predict user ratings for businesses.

Implementing Locality Sensitive Hashing for DNA Sequences.

Finding similar documents using LSH with MapReduce on multi-node Spark Cluster

Simple Projects in Data Mining

Assignment-2 for CS F469 Information Retrieval Course

a Python program that uses LSH (locality-sensitive hashing) to search and retrieve filenames from a csv file that contains similar words to the user's input.