There are 3 repositories under knn-search topic.
Collections of vector search related libraries, service and research papers
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
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.
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
A header-only C++ library for k nearest neighbor search with Eigen3.
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.
Mutual Information measures using kNN for both continuous and categorical (discrete) variables [Matlab code]
A Spatial-temporal Index.
đź“Š NMSLIB visualization tool
An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.
Image search engine using Angular and Python.
Create a Simple network of words related to each other using Twitter Streaming API.
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.
Information about Neural Network's tools
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
KD tree implementation with kNN and sequential scan search