mlpack: a fast, header-only C++ machine learning library
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Updated
Jun 10, 2024 - C++
mlpack: a fast, header-only C++ machine learning library
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
Fast and memory-efficient ANN with a subset-search functionality
SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.
C++ implementation of KDTree & kNN classification on MNIST
Fast search algorithm for product-quantized codes via hash-tables
Rcpp bindings for the approximate nearest neighbors library hnswlib
Clone of the Bioconductor repository for the BiocNeighbors package.
PH-Tree C++ implementation
hnswlib-node provides Node.js bindings for Hnswlib
High Dimensional Approximate Near(est) Neighbor
A header-only C++ library for k nearest neighbor search with Eigen3.
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
A fast high dimensional near neighbor search algorithm based on group testing and locality sensitive hashing
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