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Kmeans Clustering Python Packages

Python packages with the GitHub topic kmeans-clustering. Sorted by relevance, with stars and monthly downloads.
subhadarship
kmeans-pytorch

kmeans using PyTorch

91K 534 84
jokofa
torch-kmeans

PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.

37K 83 7
anish-lakkapragada
sealion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

2K 341 38
semoglou
cake-ensemble

Confidence in Assignments via K-partition Ensembles

1K 1 0
thieu1995
metacluster

MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

651 17 4
cwida
superkmeans

⚡ Super fast clustering for high-dimensional vectors on CPUs (x86, ARM) and GPUs — for Python and C++. 100x faster clustering of vector embeddings than FAISS

638 64 4
ahmadjaved97
imageatlas

A toolkit for organizing, cleaning and analysing your image datasets.

616 18 1
ferrocactus
constrainedkmeans

Constrained KMeans algorithm.

434 8 0
imsahil007
kmeansimage

Python package to compress images in python using KMeans-Clustering technique

355 1 1
bstoilov
pysemantics

Free Python client, that utilizes the digitalowl.org NLP API.

335 9 2
szachovy
genetic-optimizer

Genetic algorithm optimizer using K-Means clustering with one way ANOVA algorithms.

304 4 2
flashxio
knor

A repo to allow validation of performance results in the knor paper and provide a fast, scalable k-means implementation.

282 15 4
FrancoBobadilla
neural-map

NeuralMap is a data analysis tool based on Self-Organizing Maps

270 9 2
NotShrirang
againml

ML / DL Algorithms implemented from scratch. Developed with only numpy as dependency. Machine Learning Algorithms such as Support Vector Machine, Linear Regression, Artificial Neural Networks and other data transformation algorithms are implemented. Project is released as a python package and can be download from Python Package Installer.

248 4 1
danny-1k
torchclust

Efficient and Scalable Implementations of Clustering Algorithms using Pytorch.

220 7 0
tengjuilin
vampire-analysis

VAMPIRE (Visually Aided Morpho-Phenotyping Image Recognition) analysis quantifies and visualizes heterogeneity of cell and nucleus morphology.

195 4 1
frankvegadelgado
movie-clustering

Movie Catalog Clustering with Vertex Cover Feature Selection

177 0 0
ammesatyajit
hkmeans-minibatch

An implementation of hierarchical minibatch k-means.

161 9 1
ZianLai
machinelearningstanford

Machine Learning course offered by DeepLearning.AI and Stanford.

133 0 0
EdoardoBotta
rectokens

[Pytorch] Efficient tokenization library for recommendations and generative retrieval using pre-trained language models. Inspired by "Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators"

124 5 0
filipsPL
optuclust

Optuna-tuned clustering

79 1 0
ReadyResearchers
musisort

A PIP tool for assisting in categorizing locally stored audio files by classifying songs within a list based on musical similarity through the utilization of K-Means clustering.

78 0 0
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