basis embedding: a product quantization based model compression method for language models.

Vector search using embeddings, FAISS and Product Quantization with custom index & KMeans

Implementations of different NLP tasks

[ECCV'24] Differentiable Product Quantization for Memory Efficient Camera Relocalization

WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021

product quantization image processing algorithm with matlab

This repo includes a Sparse Transformer implementation which utilizes PQ to derive the sparsity.

Inverted file system for billion-scale ANN search

Array quantization and compression

Fast and memory-efficient ANN with a subset-search functionality

Transformer-based Embedding Retrieval with Product Quantization for Edge Computing (JavaScript)

Pure python implementation of product quantization for nearest neighbor search

Some useful tips for faiss

Fast and memory-efficient clustering

⚡ A fast embedded library for approximate nearest neighbor search

Scene similarity for weak object discovery & classification

Orthonormal Product Quantization Network for Scalable Face Image Retrieval

A tiny approximate K-Nearest Neighbour library in Python based on Fast Product Quantization and IVF