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.

cake-ensemble

Confidence in Assignments via K-partition Ensembles

metacluster

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

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

imageatlas

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

constrainedkmeans

Constrained KMeans algorithm.

kmeansimage

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

pysemantics

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

genetic-optimizer

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

knor

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

neural-map

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

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.

torchclust

Efficient and Scalable Implementations of Clustering Algorithms using Pytorch.

vampire-analysis

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

movie-clustering

Movie Catalog Clustering with Vertex Cover Feature Selection

hkmeans-minibatch

An implementation of hierarchical minibatch k-means.

machinelearningstanford

Machine Learning course offered by DeepLearning.AI and Stanford.

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"

optuclust

Optuna-tuned clustering

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.