mlpack: a scalable C++ machine learning library
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Updated
Oct 25, 2017 - C++
mlpack: a scalable C++ machine learning library
A fast K Nearest Neighbor library for low-dimensional spaces
Navigable Small World Graphs For Approximate Nearest Neighbors In Rust
Vantage Point Tree implementation in Python 🌳
Java WSDL-based SOAP web service with Springboot (Spring-WS, Contract first) and nearest neighbor search
Neighbor Search and Clustering for Vectors using Locality-sensitive hashing and Randomized Projection to Hypercube
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
Four core workers of shotit: watcher, hasher, loader and searcher.
Raku package with algorithms for finding nearest neighbors for different sets of objects.
Python wrapper for Boost Geometry Rtree
Near neighbor searching and clustering using LSH
An image similarity search engine has been developed that finds images similar to the image selected by the user from the dataset provided by the user. The latent vectors of the images are generated by a CNN based autoencoder model. KNN is used to find images similar to the selected image. An image similarity search engine platform has been created
VectorizeDB is a database for vectorized data and metadata, allowing for fast similarity search and retrieval.
Comparative Analysis of Solutions to the NP-hard Problem: Travelling Salesman Problem.
Canvas rendering of random dots connected to nearest neighbors
Vector space modeling of MovieLens & IMDB movie data
Algorithms Project for Oregon State University
📈|Time Series - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with metrics: L2, Discrete and Continuous Fréchet.
Movie Recommendation Engine
Provide meta information and utility for shotit, for example, image proxy, cast and poster etc.
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