There are 4 repositories under knn-search topic.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Collections of vector search related libraries, service and research papers
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
Absolute balanced kdtree for fast kNN search.
utils to use word embedding models like word2vec vectors in a PostgreSQL database
Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.
A header-only C++ library for k nearest neighbor search with Eigen3.
Mutual Information measures using kNN for both continuous and categorical (discrete) variables [Matlab code]
A Spatial-temporal Index.
An vector search SQLite extension baked by VSAG.
📊 NMSLIB visualization tool
Create a Simple network of words related to each other using Twitter Streaming API.
An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.
Image search engine using Angular and Python.
Converts the given image(.jpg, .jpeg, .png) in its similar text image.
Course Project of Information Retrieval.
A recommender system to recommend movies, books or shopping items list based on search.
Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
Multi-level Semantic Labelling of Numerical Values