Topics / #clustering

Clustering projects on GitHub

Clustering of data points or of application nodes into distributed groups

As of , the most-starred Clustering projects on GitHub are homemade-machine-learning (24.8K stars), effect (17.3K stars) and python-machine-learning-book (12.7K stars). GitHub.Locker tracks 7 Clustering repositories with 76.6K stars combined. The fastest-growing on October 16 was effect, with +12 stars in a day.

7Projects
76.6KStars in total
+18Stars in a day
Browse in the catalog →github.com/topics/clustering ↗

Hot right now

Most stars gained in a day · Oct 16

+12

effect

Effect-TS/effect · ★ 17.3K

Effect is a TypeScript library for building robust, maintainable, type-safe, production-grade applications. It tackles the hard problems at scale: typed errors, dependency injection, structured concurrency, scheduling, tracing, and schema validation.

+4

homemade-machine-learning

trekhleb/homemade-machine-learning · ★ 24.8K

A collection of popular machine learning algorithms implemented from scratch in Python, each paired with an interactive Jupyter Notebook demo and an explanation of the math behind it.

+1

MLAlgorithms

rushter/MLAlgorithms · ★ 11.2K

A collection of minimal, clean Python implementations of core machine learning algorithms, built so people can learn how the algorithms actually work internally.

+1

sktime

sktime/sktime · ★ 10.1K

sktime is a Python library for machine learning with time series: one unified interface for forecasting, classification, clustering, and anomaly or changepoint detection.

The all-time top

7 projects · by stars

  1. #1 · trekhleb/homemade-machine-learning

    homemade-machine-learning

    A collection of popular machine learning algorithms implemented from scratch in Python, each paired with an interactive Jupyter Notebook demo and an explanation of the math behind it.

    24.8K
  2. #2 · Effect-TS/effect

    effect

    Effect is a TypeScript library for building robust, maintainable, type-safe, production-grade applications. It tackles the hard problems at scale: typed errors, dependency injection, structured concurrency, scheduling, tracing, and schema validation.

    17.3K
  3. #3 · rasbt/python-machine-learning-book

    python-machine-learning-book

    This is the official code repository for the 1st edition of the 'Python Machine Learning' book by Sebastian Raschka, published by Packt in 2015. It holds the Jupyter notebooks with all the code examples from the book's 13 chapters, from basic classifiers to neural networks.

    12.7K
  1. 4

    MLAlgorithms

    11.2Krushter/MLAlgorithms · Python

    A collection of minimal, clean Python implementations of core machine learning algorithms, built so people can learn how the algorithms actually work internally.

  2. 5

    sktime

    10.1Ksktime/sktime · Python

    sktime is a Python library for machine learning with time series: one unified interface for forecasting, classification, clustering, and anomaly or changepoint detection.

  3. 6

    palette-from-image-ai

    300egotoadcitadel/palette-from-image-ai · Python

    It's a standalone Windows desktop app that pulls a clean, role-tagged color palette out of any image using an on-device vision model and perceptual color clustering, with no cloud upload or subscription involved.

  4. 7

    AutoLOGIC

    209sethGu/AutoLOGIC · Python

    AutoLOGIC is an agentic framework for automated tabular machine learning across classification, regression, and clustering. It turns a task specification into coordinated feature, model, optimization, and output-control plans and then executes them with task-specific tools.

Often tagged together