An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage 💥

Web服务：使用腾讯 800 万词向量模型和 spotify annoy 引擎得到相似关键词

Rcpp bindings for Annoy

Rust port of annoy (https://github.com/spotify/annoy)

Deeplearing based Reverse Image Search using Annoy library

The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Build on-top of Numpy, Scikit-Learn, and Annoy.

A minimal implementation of spotify/annoy in pure rust

A web app that help users pick their next insta-vacation destinations.

Применяем Singular Value Decomposition with implicit feedback для задачи рекомендации аниме

An R package for blocking records for record linkage / data deduplication based on approximate nearest neighbours algorithms.

Hyper performant kNN using Annoy for Apache Spark.

sends roblox friend requests

Advertisement search interface based on image similarity.

MNIST digits image similarity search by Indexing with Annoy and using trained embeddings from a Siamese Net with Triplet Loss .

Model to recognize celebrities using a face matching algorithm.

Lightweight Nearest Neighbors with Flexible Backends

Unstructured data refers to information that is not organised using a predetermined data model or schema and cannot be stored in a conventional relational database system. There are several methods for search unstructured data semantically- That is by taking the actual context/meaning of the sentences.One best approach is index based approach.

My own "Game of Life" algorithm, designed to annoy people!

Image Recommendation via similarity retrieval through deep learning