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.

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.

Python implementation of KNN and DTW classification algorithm

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

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

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

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

kNN-based next-basket recommendation

PostgreSQL extension for spatial indexing on a sphere

Compressing Representations for Self-Supervised Learning