GitHub topic

clustering GitHub repositories

Explore 13 tracked GitHub repositories tagged clustering. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 4 stars since the previous daily snapshot.

Tracked repositories: 13
Total stars: 29,448
Stars gained · 7 days: +32
Stars gained · 30 days: +175

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Star activity for clustering repositories on this page
Repository	Total stars	Today	7 days	30 days
haifengl/smile	6.4K	+0	+5	+15
biolab/orange3	5.7K	+0	+6	+22
scikit-learn-contrib/hdbscan	3.2K	+1	+1	+31
RubixML/ML	2.2K	+0	+0	+7
WenjieDu/PyPOTS	2.1K	+0	+5	+22

Explore repositories

Showing 1–13 of 13 tracked repositories.

haifengl/smile

Statistical Machine Intelligence & Learning Engine

biolab/orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

★ 5.7K+0 todayPython

machine-learning data-science

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scikit-learn-contrib/hdbscan

A high performance implementation of HDBSCAN clustering.

★ 3.2K+1 todayJupyter Notebook

machine-learning machine-learning-algorithms

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RubixML/ML

A high-level machine learning and deep learning library for the PHP language.

★ 2.2K+0 todayPHP

machine-learning deep-learning

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A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

★ 2.1K+0 todayPython

machine-learning deep-learning

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JuliaAI/MLJ.jl

A Julia machine learning framework

★ 1.9K+0 todayJulia

machine-learning data-science

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mlr-org/mlr

Machine Learning in R

JustGlowing/minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

★ 1.6K+0 todayPython

machine-learning neural-networks

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NVIDIA/raft

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.

yueliu1999/Awesome-Deep-Graph-Clustering

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

★ 1.0K+0 todayPython

machine-learning deep-learning

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smartcorelib/smartcore

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

★ 971+0 todayRust

machine-learning classification

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NVIDIA/cuvs

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

★ 877+3 todayCuda

llm machine-learning

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Waikato/moa

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.

★ 670+0 todayJava

machine-learning machine-learning-algorithms

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clustering GitHub repositories

Compare star activity

Explore repositories

haifengl/smile

biolab/orange3

scikit-learn-contrib/hdbscan

RubixML/ML

WenjieDu/PyPOTS

JuliaAI/MLJ.jl

mlr-org/mlr

JustGlowing/minisom

NVIDIA/raft

yueliu1999/Awesome-Deep-Graph-Clustering

smartcorelib/smartcore

NVIDIA/cuvs

Waikato/moa

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