clustering

Easy Map Annotation Clustering 📍

Foldseek enables fast and sensitive comparisons of large structure sets.

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

pyclustering is a Python, C++ data mining library.

Collection of various algorithms implemented in R.

A lean C++ library for working with point cloud data

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

EliasDB a graph-based database.

[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

iodine - HTTP / WebSockets Server for Ruby with Pub/Sub support

A scikit-learn based module for multi-label et. al. classification

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

A High Performance HTTP Server for Ruby

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

A robust streaming log template miner based on the Drain algorithm

cuVS - a library for vector search and clustering on the GPU

ELKI Data Mining Toolkit

InfluxDB Cluster - Open Source Alternative to InfluxDB Enterprise

Versatile open-source tool for microbiome analysis

React Native map clustering both for Android and iOS.

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

BanditPAM C++ implementation and Python package

Apache Commons Math

C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID multi-paradigm database management system.

Visually cluster your emails by sender, domain, and more to identify waste

[EMNLP'25 findings] An easy-to-use Graph RAG system using hierarchical knowledge.

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.