Benchmarks of approximate nearest neighbor libraries in Python

For extensive instructor led learning

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

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

Python implementation of KNN and DTW classification algorithm

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

A scalable nearest neighbor search library in Apache Spark

cuVS - a library for vector search and clustering on the GPU

Performance-portable geometric search library

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

Improving Generalization via Scalable Neighborhood Component Analysis

Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN

The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.

A lightweight and efficient Python Morton encoder with support for geo-hashing

kNN-based next-basket recommendation

Compressing Representations for Self-Supervised Learning

PostgreSQL extension for spatial indexing on a sphere