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nfmcclure / tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

nlp machine-learning neural-network tensorflow svm genetic-algorithm linear-regression regression cnn ode classification rnn tensorboard packtpub tensorflow-cookbook tensorflow-algorithms kmeans-clustering

Updated May 23, 2024
Jupyter Notebook

susanli2016 / Machine-Learning-with-Python

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Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Mar 10, 2024
Jupyter Notebook

subhadarship / kmeans_pytorch

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kmeans using PyTorch

jekyll github-pages docs gpu pytorch kmeans-clustering jekylbook

Updated May 9, 2023
Jupyter Notebook

jayshah19949596 / Machine-Learning-Models

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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

Updated May 15, 2017
MATLAB

anish-lakkapragada / SeaLion

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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

Updated Nov 7, 2023
Python

GoogleCloudPlatform / df-ml-anomaly-detection

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

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

Updated May 4, 2024
Java

myazi / myLearn

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machine learning algorithm

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

Updated Nov 9, 2021
C++

Somnibyte / MLKit

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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

Updated Aug 28, 2018
Swift

okaneco / kmeans-colors

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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

Updated Aug 17, 2023
Rust

Mayurji / MLWithPytorch

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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

Updated Dec 15, 2021
Python

drewwilimitis / hyperbolic-learning

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

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

Updated May 19, 2020
Jupyter Notebook

Shaashwat05 / Cartoonify_reality

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Convert images and videos to cartoons using opencv

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

Updated Jan 12, 2021
Python

sandipanpaul21 / Clustering-in-Python

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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

Updated Aug 7, 2024
Jupyter Notebook

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

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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

Updated Jan 25, 2023
Jupyter Notebook

gbuesing / kmeans-clusterer

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k-means clustering in Ruby

ruby clustering kmeans-clustering rubyml

Updated Sep 21, 2020
Ruby

MaksimEkin / COVID19-Literature-Clustering

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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.