kmeans-clustering

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

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

UpdatedMay 15, 2017
MATLAB

anish-lakkapragada /SeaLion

Star334

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

python data-science machine-learning algorithms modeling batch-normalization neural-networks data-analysis unsupervised-learning kmeans-clustering machine-learning-python dbscan-clustering regression-algorithms k-nearest-neighbors

UpdatedNov 7, 2023
Python

GoogleCloudPlatform /df-ml-anomaly-detection

Star181

Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP

log network pubsub cybersecurity dataflow kmeans-clustering dlp anomaly-detection bqml

UpdatedFeb 4, 2025
Java

shantanu1109 /Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

Star176

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering anomaly-detection supervised-machine-learning unsupervised-machine-learning multiple-linear-regression

UpdatedJan 25, 2023
Jupyter Notebook

myazi /myLearn

Star163

machine learning algorithm

hmm log svm crf linear-regression dnn id3 logistic-regression cart adaboost bayes gmm rf knn softmax-regression kmeans-clustering memm

UpdatedNov 9, 2021
C++

Somnibyte /MLKit

Star152

A simple machine learning framework written in Swift 🤖

swift machine-learning neural-network genetic-algorithm linear-regression machine-learning-algorithms regression artificial-intelligence machine-learning-library feedforward-neural-network kmeans ridge-regression polynomial-regression backpropagation kmeans-clustering mlkit lasso-regression

UpdatedAug 28, 2018
Swift

okaneco /kmeans-colors

Star151

k-means clustering library and binary to find dominant colors in images

rust image-processing color-palette kmeans dominant-colors kmeans-clustering lab-color dominant-color kmeans-colors nearest-colors

UpdatedApr 9, 2025
Rust

krukah /robopoker

Sponsor

Star136

Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.

game rust reinforcement-learning ai poker card-game isomorphism kmeans kmeans-clustering optimal-transport texas-holdem earth-movers-distance cfr counterfactual-regret-minimization nlhe pluribus poker-solver counterfactual-regret

UpdatedJul 10, 2025
Rust

drewwilimitis /hyperbolic-learning

Star136

Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)

python kmeans-clustering hyperbolic-geometry multidimensional-scaling hyperbolic-embeddings

UpdatedMay 19, 2020
Jupyter Notebook

Mayurji /MLWithPytorch

Star130

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm

UpdatedDec 15, 2021
Python

sandipanpaul21 /Clustering-in-Python

Star129

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

python clustering gaussian-mixture-models clustering-algorithm dbscan kmeans-clustering clustering-evaluation hierarchical-models hierarchical-clustering dbscan-clustering kmeans-algorithm clustering-coefficient clustering-validation clustering-methods dendogram dbscan-algorithm kmeans-analysis dbscan-clusters dbscan-clustering-algorithm k-mode

UpdatedAug 7, 2024
Jupyter Notebook

Shaashwat05 /Cartoonify_reality

Star128

Convert images and videos to cartoons using opencv

image-processing opencv-python kmeans-clustering erode contour-detection cartoonify

UpdatedJan 12, 2021
Python

gbuesing /kmeans-clusterer

Star97

k-means clustering in Ruby

ruby clustering kmeans-clustering rubyml

UpdatedSep 21, 2020
Ruby

MaksimEkin /COVID19-Literature-Clustering

Star93

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.

machine-learning random-forest clustering sklearn kaggle pca classification dimensionality-reduction bokeh kmeans tsne principal-component-analysis kmeans-clustering sgd-classifier coronavirus covid-19