Document-Similarity-using-Python-and-PySpark

Compute Sentence Embeddings Fast!

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents

A scalable nearest neighbor search library in Apache Spark

Go to: https://github.com/alexklibisz/elastiknn

[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)

Scalable and Sustainable Deep Learning via Randomized Hashing

An implementation of efficient LSH inspired by fruit fly brain

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

Fast and precise comparison of genomes and metagenomes (in the order of terabytes) on a typical personal laptop