Lightweight Nearest Neighbors with Flexible Backends
- Updated
Oct 5, 2025 - Python
Lightweight Nearest Neighbors with Flexible Backends
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
Rust port of annoy (https://github.com/spotify/annoy)
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.
Deeplearing based Reverse Image Search using Annoy library
An R package for blocking records for record linkage / data deduplication based on approximate nearest neighbours algorithms.
A minimal implementation of spotify/annoy in pure rust
A web app that help users pick their next insta-vacation destinations.
Hyper performant kNN using Annoy for Apache Spark.
Model to recognize celebrities using a face matching algorithm.
Advertisement search interface based on image similarity.
sends roblox friend requests
MNIST digits image similarity search by Indexing with Annoy and using trained embeddings from a Siamese Net with Triplet Loss .
My own "Game of Life" algorithm, designed to annoy people!
Semnet efficiently constructs graph structures from embeddings, enabling graph-based analysis and operations over large collections embedded texts, images, and more.
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