Projects in Awesome Lists tagged with pca

https://github.com/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

Last synced: 12 May 2025

https://github.com/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

Last synced: 26 Mar 2025

https://github.com/h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

automl big-data data-science deep-learning distributed ensemble-learning gbm gpu h2o h2o-automl hadoop java machine-learning naive-bayes opensource pca python r random-forest spark

Last synced: 24 Dec 2025

https://github.com/susanli2016/machine-learning-with-python

Python code for common Machine Learning Algorithms

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

Last synced: 14 May 2025

https://github.com/susanli2016/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

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

Last synced: 17 Apr 2025

https://github.com/visualize-ml/book5_essentials-of-probability-and-statistics

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

machine-learning multivariate-statistics pca regression statistics

Last synced: 14 May 2025

https://github.com/maxhalford/prince

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

ca correspondence-analysis factor-analysis famd mca mfa multiple-correspondence-analysis multiple-factor-analysis pandas pca principal-component-analysis procrustes python scikit-learn svd

Last synced: 11 Apr 2025

https://github.com/MaxHalford/prince

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

ca correspondence-analysis factor-analysis famd mca mfa multiple-correspondence-analysis multiple-factor-analysis pandas pca principal-component-analysis procrustes python scikit-learn svd

Last synced: 26 Mar 2025

https://github.com/kzampog/cilantro

A lean C++ library for working with point cloud data

3d 3d-visualization clustering convex convex-hull icp iterative-closest-point k-means mds mean-shift model-fitting non-rigid-registration pca point-cloud ransac reconstruction registration rgbd segmentation spectral-clustering

Last synced: 16 May 2025

https://github.com/thu-ml/ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

adversarial-attacks adversarial-machine-learning adversarial-robustness benchmark-framework bim boundary deepfool distillation evolutionary fgsm hgd mi-fgsm mmlda nes pca spsa

Last synced: 04 Apr 2025

https://github.com/h2oai/h2o4gpu

H2Oai GPU Edition

c-plus-plus cpu cuda elastic-net glm gpu lasso machine-learning pca python r rstats svd

Last synced: 14 May 2025

https://github.com/easystats/parameters

:bar_chart: Computation and processing of models' parameters

beta bootstrap ci confidence-intervals data-reduction easystats fa feature-extraction feature-reduction hacktoberfest parameters pca pvalues r r-package regression-models robust-statistics standardize standardized-estimates statistical-models

Last synced: 14 May 2025

https://github.com/JuliaStats/MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

cca dimensionality-reduction ica isotonic-regression julia lda linear-regression mds multivariate-statistics ols-regression pca regression ridge-regression statistics

Last synced: 13 Nov 2025

https://github.com/juliastats/multivariatestats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

cca dimensionality-reduction ica isotonic-regression julia lda linear-regression mds multivariate-statistics ols-regression pca regression ridge-regression statistics

Last synced: 09 Oct 2025

https://github.com/jmartinezheras/2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

anomaly-detection clustering decision-trees deep-learning lecture-material lecture-slides lecture-videos lectures linear-regression machine-learning machinelearning neural-network pca random-forest support-vector-machines text-mining tf-idf topic-modeling

Last synced: 21 Apr 2025

https://github.com/erdogant/pca

pca: A Python Package for Principal Component Analysis.

3d-plot biplot explained-variance hotelling-t2 outliers pca principal-component-analysis

Last synced: 15 May 2025

https://github.com/danielmartensson/ccontrol

Using advanced control and computer vision techniques in an easy way for embedded

c computervision control-systems embedded-systems lapack lda machine-learning machinelearning math-kernel-library mkl optimal-control pca systemidentification

Last synced: 16 May 2025

https://github.com/m-clark/Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 14 Mar 2025

https://github.com/m-clark/miscellaneous-r-code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 13 Apr 2025

https://github.com/dlab-berkeley/Machine-Learning-in-R

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

cluster decision-trees dlab-berkeley lasso machine-learning pca random-forest superlearner tutorial xgboost

Last synced: 26 Apr 2025

https://github.com/logancyang/loss-landscape-anim

Create animations for the optimization trajectory of neural nets

loss-landscape neural-nets optimization-trajectory pca pytorch pytorch-lightning

Last synced: 09 Apr 2025

https://github.com/ankane/faiss-ruby

Efficient similarity search and clustering for Ruby

ann approximate-nearest-neighbors kmeans pca

Last synced: 17 Nov 2025

https://github.com/vyraun/Half-Size

Code for "Effective Dimensionality Reduction for Word Embeddings".

fasttext glove nips-2017 pca wordembedding

Last synced: 10 May 2025

https://github.com/bwlewis/irlba

Fast truncated singular value decompositions

pca principal-component-analysis singular-value-decomposition sparse-principal-components svd

Last synced: 13 Apr 2025

https://github.com/xarray-contrib/xeofs

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

climate-science dask dimensionality-reduction eof-analysis pattern-recognition pca xarray

Last synced: 12 Dec 2025

https://github.com/dsgiitr/visualml

Interactive Visual Machine Learning Demos.

autoencoder deep-learning logistic-regression machine-learning mlp-classifier pca style-transfer svm tensorflow-js vanishing-gradient visualizations

Last synced: 15 Apr 2025

https://github.com/saehm/DruidJS

A JavaScript Library for Dimensionality Reduction

clustering dimensionality-reduction fastmap isomap javascript-library lle ltsa matrix mds pca t-sne umap unsupervised-learning

Last synced: 02 May 2025

https://github.com/zhengxwen/snprelate

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development version only)

bioinformatics gds-format pca r simd snp

Last synced: 08 Apr 2025

https://github.com/zlxy9892/ml_code

A repository for recording the machine learning code

apriori artificial-intelligence bayesian clustering cv decision-tree deep-learning k-means keras knn logistic-regression machine-learning mnist neural-network nlp pca scikit-learn sklearn svd tensorflow

Last synced: 22 Jul 2025

https://github.com/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.

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

Last synced: 23 Oct 2025

https://github.com/sylvaticus/betaml.jl

Beta Machine Learning Toolkit

ai artificial-intelligence autoencoder classification clustering data-science decision-trees deep-learning feature-importance imputation julia machine-learning ml neural-networks pca random-forest regression

Last synced: 17 Mar 2025

https://github.com/petrobras/bibmon

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

echo-state-network fault-detection fault-diagnosis machine-learning neural-networks pca process-monitoring process-systems-engineering scikit-learn soft-sensor time-series

Last synced: 13 Apr 2025

https://github.com/trendscenter/gift

Group ICA/IVA software (MATLAB)

analyze eeg fmri gifttoolbox group-analysis group-pca ica iva matlab nifti-1 nifti-2 nifti-gz pca smri

Last synced: 09 Apr 2025

https://github.com/rulixiang/ChangeDetectionPCAKmeans

MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

change-detection kmeans pca

Last synced: 30 Mar 2025

https://github.com/yell/mnist-challenge

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

data-augmentation deep-learning deep-neural-networks gaussian-processes k-nn kernel logistic-regression machine-learning mnist neural-network pca python rbm

Last synced: 04 Jul 2025

https://github.com/cnr-isti-vclab/relight

A RTI library for creating and visualizing Reflectance Transformation Imaging

html image-processing imaging pca ptm webgl

Last synced: 24 Oct 2025

https://github.com/syamkakarla98/dimensionality-reduction-and-classification-on-hyperspectral-images-using-python

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

classification dimensionality-reduction hacktoberfest hacktoberfest2020 hyperspectral-image-classification indian-pines matplotlib numpy pandas pca principal-components python-3

Last synced: 03 May 2025

https://github.com/m-clark/models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

algorithms bayesian cox-model expectation-maximization gaussian-processes gradient-descent hamiltonian-monte-carlo lasso linear-regression logistic-regression machine-learning maximum-likelihood-estimation mixed-models neural-network pca penalized-regression ridge-regression rkhs splines zero-inflated

Last synced: 30 Jun 2025

https://github.com/snakers4/playing_with_vae

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

beginner embedding fashion-mnist mnist pca python3 pytorch tutorial umap variational-autoencoder

Last synced: 13 Jul 2025

https://github.com/thiswillbeyourgithub/anna_anki_neuronal_appendix

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

ai anki bert clustering doc2vec embedding flashcards kmeans latent machinelearning neighbourhood nlp pca sbert scheduler sementics sentence-embeddings umap

Last synced: 10 Apr 2025

https://github.com/kongruksiamza/machinelearning

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

deep-learning deep-neural-networks face-recognition k-means-clustering knn-classification linear-regression machine-learning naive-bayes-classifier neural-network pca python

Last synced: 06 Apr 2025

https://github.com/sdq/deepvis

machine learning algorithms in Swift

hierarchical-clustering kmeans lda machine-learning pca unsupervised-learning

Last synced: 17 Aug 2025

https://github.com/parveshdhull/facerecognitionusing-pca-2d-pca-and-2d-square-pca

Implementation of PCA/2D-PCA/2D(Square)-PCA in Python for recognizing Faces: 1. Single Person Image 2. Group Image 3. Recognize Face In Video

2d-pca 2d-square-pca face-recognition face-recognition-python face-recognition-video facerecognitionproject pca principal-component-analysis python two-dimensional-pca

Last synced: 31 Aug 2025

https://github.com/nicrie/xmca

Maximum Covariance Analysis in Python

complex correlation eof maximum maximum-covariance-analysis mca numpy pca principal-component-analysis promax python rotation varimax xarray

Last synced: 12 Apr 2025

https://github.com/benedekrozemberczki/nmfadmm

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

admm beta-divergence deepwalk embedding factorization feature-extraction lda matrix-factorization nmf node2vec optimization pca principal-component-analysis principal-components sparse-matrix topic-modeling unsupervised-learning unsupervised-machine-learning word-embedding word2vec

Last synced: 27 Jul 2025

https://github.com/johnhany97/ocr-machine-learning

OCR Machine Learning in python

classifier error-correction knn machine-learning nearest-neighbor-classifier ocr pca python spelling-correction

Last synced: 10 Apr 2025

https://github.com/aazuspan/geeSharp

Pan-sharpening in the Earth Engine code editor

earth-engine ergas gram-schmidt image-processing image-quality landsat pan-sharpening panchromatic pansharpening pca remote-sensing

Last synced: 06 Apr 2025

https://github.com/aazuspan/geesharp

Pan-sharpening in the Earth Engine code editor

earth-engine ergas gram-schmidt image-processing image-quality landsat pan-sharpening panchromatic pansharpening pca remote-sensing

Last synced: 21 Mar 2025

https://github.com/pbloem/pca-book

Source files for a book on Principal component analysis

book latex pca principal-component-analysis

Last synced: 12 Sep 2025

https://github.com/viodotcom/ppca_rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

data-science dimensionality-reduction em-algorithm linear-algebra machine-learning machine-learning-algorithms maximum-likelihood maximum-likelihood-estimation missing-data missing-values pca pca-analysis python rust

Last synced: 11 Apr 2025

https://github.com/dppalomar/covFactorModel

Covariance Matrix Estimation via Factor Models

covariance-matrix factor-model financial-data pca

Last synced: 04 May 2025

https://github.com/dppalomar/covfactormodel

Covariance Matrix Estimation via Factor Models

covariance-matrix factor-model financial-data pca

Last synced: 12 Apr 2025

https://github.com/selbouhaddani/OmicsPLS

R package for High dimensional data analysis and integration with O2PLS!

bioinformatics biostatistics data-integration latent-variable-models multi-omics omics partial-least-squares-regression pca pls principal-component-analysis

Last synced: 13 Apr 2025

https://github.com/maruedt/chemometrics

Python library for chemometric data analysis

chemometrics data-analysis ihm mcr mvda pca pls preprocessing python scikit-learn spectroscopy statistics

Last synced: 10 Apr 2025

https://github.com/trendscenter/fit

Fusion ICA Toolbox (MATLAB)

analysis cca eeg fmri gene ica iva joint-ica matlab mcca multi-modality parallel-ica pca

Last synced: 09 Apr 2025

https://github.com/alonfnt/pcax

Differentiable Principal Component Analysis (PCA) implementation in JAX

differentiable-programming dimensionality-reduction jax pca

Last synced: 02 Jul 2025

https://github.com/gbuesing/pca

Principal component analysis (PCA) in Ruby

pca principal-component-analysis ruby rubyml

Last synced: 07 May 2025

https://github.com/epigen/unsupervised_analysis

A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

cluster-analysis cluster-validation clustering clustering-algorithm clustree data-science data-visualization densmap dimensionality-reduction heatmap high-dimensional-data leiden-algorithm pca principal-component-analysis snakemake umap unsupervised-learning visualization workflow

Last synced: 15 Apr 2025

https://github.com/trainingbypackt/applied-unsupervised-learning-with-python

Discover hidden patterns and relationships in unstructured data with Python

autoencoder market-basket-analysis pca t-sne unsupervised-learning

Last synced: 10 Apr 2025

https://github.com/bhattbhavesh91/pca-from-scratch-iris-dataset

Implementing PCA from Scratch for iris dataset

iris-dataset pca principal-component-analysis

Last synced: 13 Jul 2025

https://github.com/roatienza/ml

Foundations of Machine Learning Course Materials.

gmm linear-algebra linear-regression machine-learning optimization pca probability svm vector-calculus

Last synced: 02 Sep 2025

https://github.com/sashakolpakov/dire-jax

DImensionality REduction in JAX

cpu data-science data-visualization dimensionality-reduction embeddings gpu jax machine-learning pca random-projection tpu tsne umap vector-embeddings

Last synced: 04 Oct 2025

https://github.com/bchao1/fun-with-mnist

Playing with MNIST. Machine Learning. Generative Models.

acgan autoencoders began conditonal-gan ebgan gan generative-adversarial-network infogan lsgan mnist pca tsne vae wgan wgan-gp

Last synced: 13 Jun 2025

https://github.com/debsin/dropClust

Version 2.1.0 released

cluster-analysis clustering genomics lsh-forest pca rna-seq singlecell

Last synced: 08 Apr 2025

https://github.com/pritampanda15/molecular-dynamics

Self explained tutorial for molecular dynamics simulation using gromacs

charmm complex dynamics freeenergy hpc hpc-clusters lipidbilayer molecular molecular-dynamics molecular-dynamics-simulation molecular-mechanics molecular-simulation pca proteinligand simulation

Last synced: 15 Apr 2025

https://github.com/1fmusic/audio_cat_dog_classification

Classification of WAV files from cats and dogs

audio-processing cat classification dog pca signal-processing sound wav-files

Last synced: 25 Aug 2025

https://github.com/petabi/petal-decomposition

Matrix decomposition algorithms including PCA (principal component analysis) and ICA (independent component analysis)

decomposition dimensionality-reduction ica matrix pca

Last synced: 09 Apr 2025

https://github.com/lightonai/supervised-random-projections

Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

kernel-methods machine-leanring pca randomization

Last synced: 26 Aug 2025

https://github.com/2020leon/rpca

Python implementation of robust principal component analysis

alm alternating-lagrangian-multipliers anomaly-detection background-detection numpy pca principal-component-analysis python python3 robust-pca robust-principal-component-analysis rpca

Last synced: 04 Oct 2025

https://github.com/egpivo/spatpca

R Package: Regularized Principal Component Analysis for Spatial Data

admm covariance-estimation eigenfunctions lasso matrix-factorization pca r r-package rcpparmadillo rcppparallel regularization spatial spatial-data-analysis splines

Last synced: 29 Jul 2025

https://github.com/benedekrozemberczki/fscnmf

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

analytics artifical-intelligence data-mining data-science deepwalk embedding factorization-machine fscnmf graph-embedding graph2vec information-network machine-learning network-embedding nmf node-embedding node2vec pca regularization word2vec word2vec-model

Last synced: 11 Apr 2025

https://github.com/egpivo/SpatPCA

R Package: Regularized Principal Component Analysis for Spatial Data

admm covariance-estimation eigenfunctions lasso matrix-factorization pca r r-package rcpparmadillo rcppparallel regularization spatial spatial-data-analysis splines

Last synced: 13 Jul 2025

https://github.com/benedekrozemberczki/FSCNMF

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

analytics artifical-intelligence data-mining data-science deepwalk embedding factorization-machine fscnmf graph-embedding graph2vec information-network machine-learning network-embedding nmf node-embedding node2vec pca regularization word2vec word2vec-model

Last synced: 17 Apr 2025

https://github.com/parvvaresh/ml-algorithms

Here we have fully implemented a number of algorithms related to machine learning

Last synced: 24 Feb 2025

https://github.com/lucko515/dataset-dimensionality-reduction-python

Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.

dimensionality-reduction kernel-pca lda machine-learning pca tsne

Last synced: 14 Apr 2025

https://github.com/kayoyin/signal-processing

Repository that gathers code for signal processing

data-processing dimensionality-reduction ica machine-learning nmf pca signal-processing source-separation

Last synced: 13 Apr 2025

https://github.com/al-husseinhameedjasim/prometheus-certified-associate

Curriculum-based resources for the Prometheus Certified Associate (PCA) exam.

certification cncf pca prometheus prometheus-certified-associate

Last synced: 04 Apr 2025

https://github.com/jbris/multivariate_analysis_examples

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

canonical-correlation-analysis concrete dimension-reduction dimensionality-reduction factor-analysis mds multivariate multivariate-analysis multivariate-data multivariate-distributions multivariate-linear-regression multivariate-regression multivariate-statistics nmds partial-least-squares partial-least-squares-regression pca pca-analysis pls redundancy-analysis