Locality Sensitive Hashing in Rust with Python bindings
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Updated
Jun 20, 2023 - Rust
Locality Sensitive Hashing in Rust with Python bindings
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
Search your object with hash
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
ProbMinHash – A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity
A Query Efficient Natural Language Attack in a Black Box Setting
TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation
Lab assignments for the course ID2222-Data Mining at KTH
Build content-based image retrieval system using deep learning, applied some large scale similarity search technicals like Kdtree, LSH, Faiss.
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
Trabalho Prático da UC de Métodos Probabilísticos para Engenharia Informática, UA 2019/2020
SpellChecker: an application to check for spell errors.
An implementation of LSH Forrest based off of the following paper (http:https://infolab.stanford.edu/~bawa/Pub/similarity.pdf).
Vectors - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with L2 metric.
Simple Projects in Data Mining
Assignment-2 for CS F469 Information Retrieval Course
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.
This repo shows research paper upon which I worked during my summer research intern - 2022.
Implementacija algoritama predstavljenih na predmetu Analiza velikih skupova podataka (AVSP)
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