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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++. 100x faster clustering of vector embeddings than FAISS

metacluster

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

rectokens

A tokenizer library for sequential recommendation systems

genetic-optimizer

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

imageatlas

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

knor

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

constrainedkmeans

Constrained KMeans algorithm.

vampire-analysis

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

neural-map

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

pysemantics

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

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.

kmeansimage

A K-Means based image compressor. Consists interactive widgets for Jupyter Notebook

hkmeans-minibatch

An implementation of hierarchical minibatch k-means.

torchclust

Scalable Implementations of clustering algorithms written in Pytorch for running on the GPU.

machinelearningstanford

Machine Learning course offered by DeepLearning.AI and Stanford.

movie-clustering

Movie Catalog Clustering with Vertex Cover Feature Selection

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

Hyperparameter optimization for multiple clustering algorithms using Optuna, with Scikit-learn API