Kmeans Clustering Python Packages

kmeans-pytorch

kmeans using PyTorch

torch-kmeans

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

sealion

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

superkmeans

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

markov-kmeans

Early stopping for K-means: stop when only boundary points still switch clusters, and settle them from their own label history. Shorter runs, uncertainty flags, soft memberships. Exact Lloyd, mini-batch and EMA (constant-step) training. scikit-learn compatible.

cake-ensemble

Confidence in Assignments via K-partition Ensembles

knor

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

genetic-optimizer

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

constrainedkmeans

Constrained KMeans algorithm.

metacluster

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

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.

imageatlas

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

hkmeans-minibatch

An implementation of hierarchical minibatch k-means.

pysemantics

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

vampire-analysis

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

rectokens

[Pytorch] Efficient tokenization for recommendations and generative retrieval. Inspired by STATIC decoding from "Vectorizing the Trie"

neural-map

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

kmeansimage

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

transparentml

Machine Learning algorithm codes from scratch

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.

optuclust

Optuna-tuned clustering

machinelearningstanford

Machine Learning course offered by DeepLearning.AI and Stanford.

movie-clustering

Movie Catalog Clustering with Vertex Cover Feature Selection

torchclust

Efficient and Scalable Implementations of Clustering Algorithms using Pytorch.