nearest-neighbor-search

Represent, send, store and search multimodal data

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

A Python nearest neighbor descent for approximate nearest neighbors

Blazing fast framework for fine-tuning similarity learning models

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

Pure python implementation of product quantization for nearest neighbor search

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

(distributed) vector database

A lightweight benchmark for approximate nearest neighbor search

An implementation of efficient LSH inspired by fruit fly brain

Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

Fast k-NN graph construction for slow metrics

S3 vector database for LLM Agents and RAG.

Retrieval with Learned Similarities (http://arxiv.org/abs/2407.15462, WWW'25 Oral)

Large Margin Nearest Neighbors implementation in python

A Python package for hubness analysis and high-dimensional data mining

Unofficial python wrapper to the nanoflann k-d tree

Compute the exact 100 nearest neighbors for deep1M, deep10M, and deep100M datasets.

Iconographic Visualization Inside Computational Notebooks

Large-scale tandem mass spectrum clustering using fast nearest neighbor searching.