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subhadarship
kmeans-pytorch

kmeans using PyTorch

115K 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.

49K 83 7
anish-lakkapragada
sealion

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

2K 343 38
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

1K 61 4
thieu1995
metacluster

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

507 17 4
EdoardoBotta
rectokens

A tokenizer library for sequential recommendation systems

494 4 0
szachovy
genetic-optimizer

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

391 4 2
ahmadjaved97
imageatlas

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

370 18 1
flashxio
knor

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

364 15 4
ferrocactus
constrainedkmeans

Constrained KMeans algorithm.

362 8 0
tengjuilin
vampire-analysis

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

300 4 1
FrancoBobadilla
neural-map

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

237 9 2
bstoilov
pysemantics

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

213 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.

202 4 1
imsahil007
kmeansimage

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

194 1 1
ammesatyajit
hkmeans-minibatch

An implementation of hierarchical minibatch k-means.

145 9 1
danny-1k
torchclust

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

132 6 0
ZianLai
machinelearningstanford

Machine Learning course offered by DeepLearning.AI and Stanford.

88 0 0
frankvegadelgado
movie-clustering

Movie Catalog Clustering with Vertex Cover Feature Selection

85 0 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.

83 0 0
filipsPL
optuclust

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

75 1 0
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