kmeans
There are 1164 repositories under kmeans topic.
apachecn/ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
krishnakumarsekar/awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
nickgillian/grt
gesture recognition toolkit
nivu/ai_all_resources
A curated list of Best Artificial Intelligence Resources
src-d/kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
jayshah19949596/Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
murray-z/text_clustering
文本聚类（Kmeans、DBSCAN、LDA、Single-pass）
milesgranger/gap_statistic
Dynamically get the suggested clusters in the data for unsupervised learning.
arnaldog12/Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
jxareas/Machine-Learning-Notebooks
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
imRishabhGupta/Indian-Sign-Language-Recognition
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.
luxiaoxun/KMeans-GMM-HMM
HMM based on KMeans and GMM
metakirby5/colorz
:art: A k-means color scheme generator.
begeekmyfriend/kdtree
Absolute balanced kdtree for fast kNN search.
luokn/ml
经典机器学习算法的极简实现
EdlinOrg/prominentcolor
golang package to find the K most dominant/prominent colors in an image
Somnibyte/MLKit
A simple machine learning framework written in Swift 🤖
okaneco/kmeans-colors
k-means clustering library and binary to find dominant colors in images
ankane/faiss-ruby
Efficient similarity search and clustering for Ruby
borchero/pycave
Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
lestercardoz11/fault-detection-for-predictive-maintenance-in-industry-4.0
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
TatevKaren/data-science-popular-algorithms
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
0011001011/vizuka
Explore high-dimensional datasets and how your algo handles specific regions.
MaksimEkin/COVID19-Literature-Clustering
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
overshiki/kmeans_pytorch
pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
alexwlchan/dominant_colours
A CLI tool to find the dominant colours in an image 🎨
joydeepmedhi/Anchor-Boxes-with-KMeans
How to initialize Anchors in Faster RCNN for custom dataset?
CHLWR/KDD2019_K-Multiple-Means
Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.
DiceTechJobs/VectorsInSearch
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
mlampros/ClusterR
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
louisbrulenaudet/apple-ocr
Easy-to-Use Apple Vision wrapper for text extraction, scalar representation and clustering using K-means.
mljs/kmeans
K-Means clustering
ahmedbesbes/How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python
A practical guide to topic mining and interactive visualizations
rulixiang/ChangeDetectionPCAKmeans
MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.