Clustering
Showing 36 of 65 projects
A library for efficient similarity search and clustering of dense vectors, scaling to billions of vectors on a single server.
An open-source, low-code Python library that automates end-to-end machine learning workflows.
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
A flexible and feature-complete Redis/Valkey client for PHP 7.2+ with support for clustering, replication, and advanced features.
A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
Ultra fast distributed actor framework for Go, C#, and Java/Kotlin, enabling cross-platform concurrency and messaging.
A Python library using machine learning for accurate and scalable fuzzy matching, record deduplication, and entity resolution on structured data.
A fast, single-file similarity search and clustering engine for vectors and arbitrary objects with multi-language bindings.
A sub-second latency live streaming server that ingests, transcodes, and delivers large-scale HD streams via LLHLS and WebRTC.
A Python machine learning toolkit for time series analysis with scikit-learn compatible API.
A scalable game server framework with clustering support and client libraries for iOS, Android, Unity, and others.
A comprehensive collection of machine learning algorithms and mathematical utilities implemented in JavaScript for browser and Node.js.
A curated list of community detection research papers with implementations.
A reusable, scalable Node.js API server for stateless and stateful applications with realtime multi-transport support and cluster capabilities.
A very fast JavaScript library for geospatial point clustering for browsers and Node.js.
Automatic cluster formation and healing for Elixir applications with pluggable strategies.
A lightweight, zero-dependency task scheduler and rate limiter for Node.js and browsers, with Redis-based clustering support.
A barebone, high-performance MQTT broker for Node.js that runs on any stream server.
Ultra-fast, distributed, cross-platform actor framework for Go, C#, and Java/Kotlin.
A lambda architecture framework on Apache Spark and Kafka for building and deploying real-time large-scale machine learning applications.
A unified interface and infrastructure for machine learning in R, supporting classification, regression, clustering, and survival analysis.
A Go machine learning library with online learning capabilities and a variety of implemented models.
An online course and presentation covering core Node.js concepts like event emitters, streams, buffers, clusters, and C++ addons.
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
An iOS library for efficient map annotation clustering using QuadTree, with customizable annotation views and clustering behavior.
A Python library with fast C implementations for computing Dynamic Time Warping and other time series distances.
An Elixir event store with PostgreSQL persistence, supporting clustering, subscriptions, and ACID compliance.
A fast concurrent HTTP/WebSocket server for Ruby with built-in Pub/Sub, built on the facil.io C framework.
A high-performance, resource-efficient message queue and streaming server implementing AMQP 0-9-1 and MQTT protocols.
A scikit-learn compatible Python module for multi-label classification tasks.
An open-source framework for reliable peer-to-peer group messaging and clustering over local area networks.
A fast, ergonomic machine learning library for Rust with broad algorithm coverage and WASM-first defaults.
A Ruby machine learning library with a Scikit-Learn-like interface for classification, regression, clustering, and dimensionality reduction.
MatLab/Octave implementations of popular machine learning algorithms with detailed mathematical explanations and code examples.
A cross-platform C++ machine learning library for real-time gesture recognition with support for classification, regression, and clustering.
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