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A tool library of classical machine learning algorithms with only numpy.

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

Demo Docker ⭐ 106

Demo notebooks inside a docker for end-to-end examples

machine learning framework for node.js

Clustering On The Mnist Data ⭐ 11

Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset

K Means And K Modes ⭐ 11

Kmeans and kmodes implementation in Python

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

K Means Clustering ⭐ 8

A Java program to cluster a dataset in CSV format using k-means clustering

A tiny library in C for managing kmeans clusterization algorithm over arbitrary data sets, both by manually specifying the number k of clusters and computing it automatically using Schwarz criterion

Kmeans Movie Ratings ⭐ 7

Clustering of Movie Ratings using KMeans Algorithm

K_means_iris_dataset ⭐ 7

KMeans Clustering for IRIS Dataset Classification

Kmeans Clustering ⭐ 6

Introduction and implementation of K-Means clustering.

Source code of HG-means clustering, from "HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering". (Gribel and Vidal, 2019)

Pp_yolo_pytorch_train ⭐ 5

Training my own dataset on pp_yolo models with Pytorch

Parallel Implementation Of Kmeans ⭐ 5

Parallel implementation of k-means clustering using MPI4PY and PyCUDA.

Cluster Kmeans Emgmm Pca ⭐ 5

Wine Types Clustering using K-Means, EM-GMM and PCA

Global Terrorism Database K Means ⭐ 5

A visualization of k-means clustering on terrorist attack locations

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