product-quantization topic
rii
Fast and memory-efficient ANN with a subset-search functionality
lopq
Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
faiss_tips
Some useful tips for faiss
nanopq
Pure python implementation of product quantization for nearest neighbor search
postgres-word2vec
utils to use word embedding models like word2vec vectors in a PostgreSQL database
pqkmeans
Fast and memory-efficient clustering
elasticsearch-approximate-nearest-neighbor
Plugin to integrate approximate nearest neighbor(ANN) search with Elasticsearch
GPQ
Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
annlite
⚡ A fast embedded library for approximate nearest neighbor search
RepCONC
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval