kmeans

There are 4 repositories under kmeans topic.

apachecn / ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
adaboost apriori deeplearning dnn fp-growth kmeans logistic lstm mahchine-leaning naivebayes nlp pca python recommendedsystem regression rnn scikit-learn sklearn svd svm
Language:Python 39203
zotroneneis / machine_learning_basics
Plain python implementations of basic machine learning algorithms
algorithm ipynb k-nearest-neighbor k-nearest-neighbours k-nn kmeans linear-regression logistic-regression machine-learning machine-learning-algorithms neural-network neural-networks perceptron python python-implementations python3
Language:Jupyter Notebook 4295
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
ai ant-colony-optimization artificial-intelligence artificial-neural-networks awesome awesome-list fcm hmm-model kmeans knn-classification machine-learning machine-learning-algorithms qml quantum quantum-ai quantum-computing quantum-programming-language qubits tensorflow
Language:HTML 2679
nivu / ai_all_resources
A curated list of Best Artificial Intelligence Resources
machine-learning regression neural-networks tensorflow data-science decision-trees deep-learning mathematics artificial-intelligence rnn gan reinforcement-learning convolutional-neural-networks support-vector-machine random-forest knn kmeans statquest python statistics
Language:Jupyter Notebook 986
nickgillian / grt
gesture recognition toolkit
dynamic-time-warping gesture-recognition gesture-recognition-toolkit grt kmeans linear-regression machine-learning random-forest softmax support-vector-machine
Language:C++ 862
src-d / kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
afk-mc2 cuda hacktoberfest kmeans knn-search machine-learning python yinyang
Language:Jupyter Notebook 797
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..)
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 catboost ensemble-learning lightgbm
Language:Jupyter Notebook 397
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
machine-learning-algorithms naive-bayes-classifier decision-trees random-forest dynamic-time-warping gaussian-mixture-models em-algorithm logistic-regression linear-regression principal-component-analysis singular-value-decomposition gaussian-classifier knn knn-classification kmeans-clustering kmeans kmeans-algorithm supervised-learning value-iteration-algorithm neural-network
Language:MATLAB 333
murray-z / text_clustering
文本聚类（Kmeans、DBSCAN、LDA、Single-pass）
clustering kmeans dbscan lda single-pass
Language:Python 329
jxareas / Machine-Learning-Notebooks
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
learn clustering jupyter-notebook machine-learning machine-learning-algorithms neural-network numpy python regression reinforcement-learning supervised-learning tensorflow unsupervised-learning kmeans linear-regression logistic-regression deep-learning reinforcement-learning-algorithms
Language:Jupyter Notebook 224
arnaldog12 / Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
adaboost decision-trees feature-selection kmeans knn linear-discriminant-analysis linear-regression logistic-regression machine-learning machine-learning-algorithms multilinear-regression naive-bayes neural-network polynomial-regression principal-component-analysis python redes-neurais-artificiais regression
Language:Jupyter Notebook 219
milesgranger / gap_statistic
Dynamically get the suggested clusters in the data for unsupervised learning.
cluster scikit-learn cluster-count kmeans python clustering unsupervised-learning unsupervised
Language:Rust 218
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.
bag-of-visual-words hand-gesture-recognition kmeans knn opencv sign-language svm
Language:Python 201
luxiaoxun / KMeans-GMM-HMM
HMM based on KMeans and GMM
kmeans gmm hmm
Language:C++ 193
metakirby5 / colorz
:art: A k-means color scheme generator.
color-scheme kmeans
Language:Python 179
luokn / ml
经典机器学习算法的极简实现
machine-learning python numpy algorithms adaboost gmm kmeans knn lda log logistic-regression naive-bayes pca perceptron svm decision-tree
Language:Python 177
begeekmyfriend / kdtree
Absolute balanced kdtree for fast kNN search.
algorithm k-means k-nearest-neighbours kd-tree kd-trees kdtrees kmeans knn knn-search tree-structure
Language:C 176
EdlinOrg / prominentcolor
golang package to find the K most dominant/prominent colors in an image
dominant-colors kmeans golang color
Language:Go 167
Somnibyte / MLKit
A simple machine learning framework written in Swift 🤖
regression ridge-regression swift machine-learning machine-learning-algorithms artificial-intelligence polynomial-regression linear-regression machine-learning-library mlkit kmeans-clustering neural-network feedforward-neural-network backpropagation lasso-regression kmeans genetic-algorithm
Language:Swift 152
kmeans-colors
okaneco / kmeans-colors
k-means clustering library and binary to find dominant colors in images
color-palette dominant-color dominant-colors image-processing kmeans kmeans-clustering kmeans-colors lab-color nearest-colors rust
Language:Rust 135
ankane / faiss-ruby
Efficient similarity search and clustering for Ruby
ann approximate-nearest-neighbors kmeans pca
Language:C++ 125
borchero / pycave
Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
gaussian-mixture-models kmeans machine-learning markov-model pytorch pytorch-lightning
Language:Python 125
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.
machine-learning predictive-maintenance ball-bearing python jupyter-notebook random-forest artificial-neural-networks autoencoder lstm-autoencoder kmeans isolation-forest svm gaussian-distribution principal-component-analysis
Language:Jupyter Notebook 117
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.
lda scala datascience data-science-portfolio python3 recommendation-system decision-tree movie-recommender linear-discriminant-analysis kmeans xgboost lda-model machine-learning
Language:Jupyter Notebook 113
0011001011 / vizuka
Explore high-dimensional datasets and how your algo handles specific regions.
kmeans dbscan machine-learning t-sne tsne visualization data-visualization data-mining data-science pca self-organizing-map unsupervised-learning big-data 2d-space
Language:Python 107
COVID19-Literature-Clustering
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.
covid-19 machine-learning clustering dimensionality-reduction tsne pca random-forest kmeans kaggle sklearn coronavirus kmeans-clustering principal-component-analysis bokeh classification sgd-classifier
Language:HTML 93
overshiki / kmeans_pytorch
pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
gpu kmeans pytorch
Language:Python 93
joydeepmedhi / Anchor-Boxes-with-KMeans
How to initialize Anchors in Faster RCNN for custom dataset?
faster-rcnn object-detection tensorflow-models computer-vision python anchor-box kmeans anchor aspect-ratio iou custom-dataset detection bounding-boxes hyperparameters clusters distance-metric
Language:Jupyter Notebook 91
dominant_colours
alexwlchan / dominant_colours
A CLI tool to find the dominant colours in an image 🎨
dominant-colors kmeans-colors kmeans rust
Language:Rust 89
louisbrulenaudet / apple-ocr
Easy-to-Use Apple Vision wrapper for text extraction, scalar representation and clustering using K-means.
apple clustering kmeans nlp ocr ocr-recognition pyobjc python scatter-plot sklearn
Language:Python 86
mljs / kmeans
K-Means clustering
clustering kmeans
Language:TypeScript 86
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
solr lsh word2vec glove information-retrieval search-engine semantic-search vector lucene kmeans kmeans-quantization quantization locality-sensitive-hashing vector-quantization conceptual-search inverted-indexes invertedindex elasticsearch elmo bert
Language:Python 84
mlampros / ClusterR
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
gmm kmeans mini-batch-kmeans kmedoids-clustering rcpparmadillo cpp11 r affinity-propagation
Language:R 84
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.
clustering kdd kdd2019 kmeans large-scale-clustering multi-prototypes-clustering
Language:MATLAB 82
rulixiang / ChangeDetectionPCAKmeans
MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.
change-detection kmeans pca
Language:MATLAB 75
ahmedbesbes / How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python
A practical guide to topic mining and interactive visualizations
topic-modeling latent-dirichlet-allocation kmeans text-mining natural-language-processing bokeh tsne-algorithm plots tf-idf newsapi crontab nlp-machine-learning nlp-keywords-extraction nlp sklearn gensim tsne-plot newsapi-python
Language:HTML 74

kmeans

apachecn / ailearning

zotroneneis / machine_learning_basics

krishnakumarsekar / awesome-quantum-machine-learning

nivu / ai_all_resources

nickgillian / grt

src-d / kmcuda

Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

jayshah19949596 / Machine-Learning-Models

murray-z / text_clustering

jxareas / Machine-Learning-Notebooks

arnaldog12 / Machine_Learning

milesgranger / gap_statistic

imRishabhGupta / Indian-Sign-Language-Recognition

luxiaoxun / KMeans-GMM-HMM

metakirby5 / colorz

luokn / ml

begeekmyfriend / kdtree

EdlinOrg / prominentcolor

Somnibyte / MLKit

okaneco / kmeans-colors

ankane / faiss-ruby

borchero / pycave

lestercardoz11 / fault-detection-for-predictive-maintenance-in-industry-4.0

TatevKaren / data-science-popular-algorithms

0011001011 / vizuka

MaksimEkin / COVID19-Literature-Clustering

overshiki / kmeans_pytorch

joydeepmedhi / Anchor-Boxes-with-KMeans

alexwlchan / dominant_colours

louisbrulenaudet / apple-ocr

mljs / kmeans

DiceTechJobs / VectorsInSearch

mlampros / ClusterR

CHLWR / KDD2019_K-Multiple-Means

rulixiang / ChangeDetectionPCAKmeans

ahmedbesbes / How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python