Projects in Awesome Lists tagged with dimensionality-reduction

https://github.com/lmcinnes/umap

Uniform Manifold Approximation and Projection

dimensionality-reduction machine-learning topological-data-analysis umap visualization

Last synced: 13 May 2025

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

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics

Last synced: 14 May 2025

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

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics

Last synced: 19 Jul 2025

https://github.com/kk7nc/Text_Classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 07 Apr 2025

https://github.com/kk7nc/text_classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 14 May 2025

https://github.com/pavlin-policar/opentsne

Extensible, parallel implementations of t-SNE

dimensionality-reduction embedding machine-learning tsne visualization

Last synced: 11 Dec 2025

https://github.com/pavlin-policar/openTSNE

Extensible, parallel implementations of t-SNE

dimensionality-reduction embedding machine-learning tsne visualization

Last synced: 12 Apr 2025

https://github.com/JustGlowing/minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

clustering dimensionality-reduction kohonen machine-learning manifold-learning neural-networks outlier-detection self-organizing-map som unsupervised-learning vector-quantization

Last synced: 01 May 2025

https://github.com/benedekrozemberczki/datasets

A repository of pretty cool datasets that I collected for network science and machine learning research.

benchmark community-detection data-science dataset deepwalk dimensionality-reduction gcn gnn graph-convolution graph-embedding graph-neural-network graph2vec link-prediction machine-learning network-analysis network-embedding network-science node-classification node-embedding node2vec

Last synced: 05 Sep 2025

https://github.com/cvxgrp/pymde

Minimum-distortion embedding with PyTorch

cuda dimensionality-reduction embedding feature-vectors gpu graph-embedding machine-learning pytorch visualization

Last synced: 16 May 2025

https://github.com/KrishnaswamyLab/PHATE

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

data-visualization dimensionality-reduction manifold-learning single-cell unsupervised-learning

Last synced: 08 Apr 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/jlmelville/uwot

An R package implementing the UMAP dimensionality reduction method.

dimensionality-reduction r umap

Last synced: 16 May 2025

https://github.com/GAA-UAM/scikit-fda

Functional Data Analysis Python package

alignment classification clustering curves dimensionality-reduction functional-data-analysis functions machine-learning python python3 registration regression scikits smoothing statistics visualization

Last synced: 01 May 2025

https://github.com/beringresearch/ivis

Dimensionality reduction in very large datasets using Siamese Networks

data-visualization dimensionality-reduction machine-learning neural-network siamese-neural-network

Last synced: 25 Dec 2025

https://github.com/machenslab/dpca

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

dimensionality-reduction matlab python

Last synced: 04 Apr 2025

https://github.com/yuki-koyama/mathtoolbox

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

algorithm bfgs dimensionality-reduction eigen gpr interpolation mds optimization rbf

Last synced: 31 Jul 2025

https://github.com/wilsonjr/humap

Hierarchical Uniform Manifold Approximation and Projection

dimensionality-reduction machine-learning visualization

Last synced: 08 Apr 2025

https://github.com/syamkakarla98/hyperspectral_image_analysis_simplified

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

classification data-analysis data-science dimensionality-reduction hacktoberfest hyperspectral hyperspectral-image-classification hyperspectral-images indian-pines-dataset machine-learning matplotlib-pyplot pandas plotly python python3 remote-sensing satellite-imagery satellite-images tensorflow turorial

Last synced: 10 Apr 2025

https://github.com/packtworkshops/the-data-science-workshop

A New, Interactive Approach to Learning Data Science

binaryclassification clusteranalysis data-preparation datascience dimensionality-reduction ensemble-learning- feature-engineering hyperparameter-tuning- machine-learning machine-learning-pipelines python random-forest regression

Last synced: 05 Apr 2025

https://github.com/drewwilimitis/Manifold-Learning

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

dimensionality-reduction isomap laplacian-eigenmaps locally-linear-embedding manifold-learning multidimensional-scaling python spectral-embedding

Last synced: 01 May 2025

https://github.com/benedekrozemberczki/danmf

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

autoencoder cikm clustering community-detection coordinate-descent danmf data-science deep-learning deepwalk dimensionality-reduction embedding gemsec machine-learning mnmf nmf node-embedding node2vec sklearn unsupervised-learning word2vec

Last synced: 06 May 2025

https://github.com/danaugrs/go-tsne

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

3d data-science dimensionality-reduction go machine-learning tsne unsupervised-learning visualization

Last synced: 30 Apr 2025

https://github.com/benedekrozemberczki/DANMF

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

autoencoder cikm clustering community-detection coordinate-descent danmf data-science deep-learning deepwalk dimensionality-reduction embedding gemsec machine-learning mnmf nmf node-embedding node2vec sklearn unsupervised-learning word2vec

Last synced: 27 Mar 2025

https://github.com/jgraving/selfsne

Self-Supervised Noise Embeddings (Self-SNE)

clustering contrastive-learning deep-learning dimensionality-reduction embedding-models machine-learning self-supervised-learning

Last synced: 13 Dec 2025

https://github.com/timsainb/parametricumap_paper

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

dimensionality-reduction machine-learning representation-learning semisupervised-learning umap

Last synced: 16 Oct 2025

https://github.com/tatevkaren/mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

bootstrap canonical-correlation clustering data-imputation dimensionality-reduction factor-analysis-methods importance-sampling inverse-transform-method linear-regression monte-carlo-simulation pca-analysis probability-distribution python3 r regression-analysis rejection-sampling statistcal-tests

Last synced: 10 Apr 2025

https://github.com/dillondaudert/umap.jl

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

dimensionality-reduction julia machine-learning topological-data-analysis umap visualization

Last synced: 08 Apr 2025

https://github.com/naver/tldr

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

dimensionality-reduction manifold-learning pytorch-implementation unsupervised-machine-learning

Last synced: 24 Oct 2025

https://github.com/ganguli-lab/twpca

🕝 Time-warped principal components analysis (twPCA)

dimensionality-reduction neuroscience principal-components time-warp

Last synced: 19 Jul 2025

https://github.com/lmcinnes/enstop

Ensemble topic modelling with pLSA

dimensionality-reduction matrix-factorization plsa topic-modeling

Last synced: 30 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/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/mcsorkun/ChemPlot

A python package for chemical space visualization.

chemical-space cheminformatics data-visualization dimensionality-reduction

Last synced: 30 Apr 2025

https://github.com/benedekrozemberczki/walklets

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

deep-learning deepwalk dimensionality-reduction dont-walk-skip edge-prediction embedding gensim graph-convolution graph-embedding graph-mining graph-neural-networks graphlet machine-learning multiscale node-classification node-embedding node2vec walklet word-embedding word2vec

Last synced: 11 Apr 2025

https://github.com/yanwu2014/swne

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

bioinformatics data-visualization dimensionality-reduction nonnegative-matrix-factorization single-cell-analysis single-cell-atac-seq single-cell-genomics single-cell-rna-seq statistical-methods

Last synced: 09 Apr 2025

https://github.com/davisidarta/topometry

Systematically learn and evaluate manifolds from high-dimensional data

clustering data-science data-visualization dimensionality-reduction graph graph-layout hypothesis-generation laplace-beltrami machine-learning manifold-learning scikit-learn single-cell visualization

Last synced: 20 Aug 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/wildart/manifoldlearning.jl

A Julia package for manifold learning and nonlinear dimensionality reduction

diffusion-maps dimensionality-reduction isomap julia lle manifold-learning

Last synced: 08 Oct 2025

https://github.com/wildart/ManifoldLearning.jl

A Julia package for manifold learning and nonlinear dimensionality reduction

diffusion-maps dimensionality-reduction isomap julia lle manifold-learning

Last synced: 11 Jul 2025

https://github.com/benedekrozemberczki/BANE

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

bane deepwalk diff2vec dimensionality-reduction embedding factorization fscnmf gemsec graph graph2vec icdm lane line musae node node2vec svd tadw tridnr word2vec

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/bane

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

bane deepwalk diff2vec dimensionality-reduction embedding factorization fscnmf gemsec graph graph2vec icdm lane line musae node node2vec svd tadw tridnr word2vec

Last synced: 01 Aug 2025

https://github.com/theislab/destiny

R package for single cell and other data analysis using diffusion maps

diffusion-maps dimensionality-reduction r

Last synced: 16 May 2025

https://github.com/benedekrozemberczki/asne

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

2vec aane asne attributed attributed-embedding data-science deepwalk diff2vec dimensionality-reduction embedding factorization feature-extraction gemsec graph-embedding network-embedding node-embedding node2vec representation-learning tensorflow word2vec

Last synced: 11 Apr 2025

https://github.com/thieu1995/mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

decision-tree-classifier dimensionality-reduction feature-extraction feature-selection genetic-algorithm harris-hawks-optimization knn-classifier machine-learning mutual-information optimization pearson-correlation-coefficient relief-f subset-selection svm-classifier wrapper-methods

Last synced: 14 Aug 2025

https://github.com/frjnn/bhtsne

Parallel Barnes-Hut t-SNE implementation written in Rust.

barnes-hut bhtsne data-science data-visualization dimensionality-reduction machine-learning rust similarity-measures

Last synced: 27 Jul 2025

https://github.com/terrytangyuan/lfda

Local Fisher Discriminant Analysis in R

dimensionality-reduction distance-metric-learning machine-learning metric-learning r statistics

Last synced: 20 Aug 2025

https://github.com/gdkrmr/dimRed

A Framework for Dimensionality Reduction in R

dimensionality-reduction framework high-dimensional-data manifold-learning quality-control r visualization

Last synced: 13 Jul 2025

https://github.com/gdkrmr/dimred

A Framework for Dimensionality Reduction in R

dimensionality-reduction framework high-dimensional-data manifold-learning quality-control r visualization

Last synced: 06 Apr 2025

https://github.com/benedekrozemberczki/SINE

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

aane asne deep-learning deepwalk dimensionality-reduction gensim graph-embedding grarep machine-learning network-embedding networkx node-embedding node2vec pytorch sklearn tadw tensorflow torch unsupervised-learning walklets

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/sine

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

aane asne deep-learning deepwalk dimensionality-reduction gensim graph-embedding grarep machine-learning network-embedding networkx node-embedding node2vec pytorch sklearn tadw tensorflow torch unsupervised-learning walklets

Last synced: 13 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/jlmelville/smallvis

R package for dimensionality reduction of small datasets

dimensionality-reduction largevis r t-sne umap

Last synced: 10 Apr 2025

https://github.com/adavoudi/spdnet

Implementation of Deep SPDNet in pytorch

deep-learning dimensionality-reduction pytorch riemannian-geometry riemannian-manifold riemannian-optimization symmetric-positive-definite

Last synced: 14 Apr 2025

https://github.com/pswpswpsw/nif

A library for dimensionality reduction on spatial-temporal PDE

deep-learning dimensionality-reduction pde reduced-order-modeling tensorflow

Last synced: 30 Apr 2025

https://github.com/terrytangyuan/dml

R package for Distance Metric Learning

dimensionality-reduction distance-metric-learning machine-learning metric-learning r statistics

Last synced: 26 Aug 2025

https://github.com/alexisbcook/tsne

A python wrapper for Barnes-Hut tsne: for Python >= 3.5

dimensionality-reduction python python-3-5 python-3-6 python3 tsne tsne-algorithm

Last synced: 03 Oct 2025

https://github.com/stat-ml/ncvis

Noise-Contrastive Visualization

dimensionality-reduction machine-learning ncvis visualization

Last synced: 04 Apr 2025

https://github.com/wilsonjr/ClusterShapley

Explaining dimensionality results using SHAP values

cluster-formation dimensionality-reduction explainable-ai explainable-ml explanations machine-learning visualizations

Last synced: 01 May 2025

https://github.com/wilsonjr/clustershapley

Explaining dimensionality results using SHAP values

cluster-formation dimensionality-reduction explainable-ai explainable-ml explanations machine-learning visualizations

Last synced: 11 Apr 2025

https://github.com/davisidarta/dbmap

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

denoising diffusion-process dimensionality-reduction graph-layout high-dimensional machine-learning nearest-neighbors single-cell umap visualization

Last synced: 12 Apr 2025

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

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

clustering dimensionality-reduction glrm hdbscan isolation-forests latent-class-analysis umap unsupervised-learning

Last synced: 26 Apr 2025

https://github.com/KellerJordan/tSNE-Animation

Hacking sklearn's t-SNE implementation to animate embedding process

animation dimensionality-reduction t-sne tsne-animation

Last synced: 01 May 2025

https://github.com/davisidarta/dbMAP

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

denoising diffusion-process dimensionality-reduction graph-layout high-dimensional machine-learning nearest-neighbors single-cell umap visualization

Last synced: 13 Jul 2025

https://github.com/poloclub/people-map

Visualization Tool for Mapping Out Researchers using Natural Language Processing

academic dimensionality-reduction interactive-visualizations natural-language-processing visualization

Last synced: 13 May 2025

https://github.com/hj-n/zadu

A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings

dimensionality-reduction metrics multidimensional-projection visualization

Last synced: 14 Dec 2025

https://github.com/hendersontrent/theft

R package for Tools for Handling Extraction of Features from Time series (theft)

data-visualisation data-visualization dimensionality-reduction machine-learning r time-series

Last synced: 05 Apr 2025

https://github.com/contextlab/timecorr

Estimate dynamic high-order correlations in multivariate timeseries data

dimensionality-reduction graph-theory multivariate-analysis network-dynamics timeseries

Last synced: 09 Apr 2025

https://github.com/orbxball/ml2017

2017 Spring (105-2) -- Machine Learning

cnn-keras dimensionality-reduction kaggle-competition linear-regression logistic-regression machine-learning multilabel-classification ntu recommendation recommender-system

Last synced: 18 Mar 2025

https://github.com/ivanbongiorni/tensorflow2.0_notebooks

Implementation of a series of Neural Network architectures in TensorFow 2.0

autoencoder autograph batch-gradient-descent classifier cnn-classifier convolutional-neural-networks data-science deep-learning dimensionality-reduction forecast-model lstm machine-learning neural-network python python-3 rnn rnn-tensorflow tensorflow tensorflow-tutorials tensorflow2

Last synced: 03 Sep 2025

https://github.com/benedekrozemberczki/boostedfactorization

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

boostedne boosting boosting-machine data-mining deepwalk dimensionality-reduction factorization-machine gradient-boosting gradient-boosting-machine l-ensnmf machine-learning matrix-factorization network-embedding nmf nmf-decomposition node-embedding node2vec sklearn unsupervised-learning word2vec

Last synced: 21 Aug 2025

https://github.com/uscbiostats/partition

A fast and flexible framework for data reduction in R

data-reduction dimensionality-reduction partitional-clustering r

Last synced: 28 Apr 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/USCbiostats/partition

A fast and flexible framework for data reduction in R

data-reduction dimensionality-reduction partitional-clustering r

Last synced: 15 Mar 2025

https://github.com/windqaq/ml2017

NTUEE Machine Learning, 2017 Spring

dimensionality-reduction gradient-boosting-machine kaggle-competition linear-regression logistic-regression machine-learning multi-label-classification ntu recommendation-system sentiment-classification svd svdplusplus

Last synced: 26 Jun 2025

https://github.com/prakhar-ff13/customer-analytics

Machine Learning Case study on customer segmentation and prediction of groups.

analytics case-study data-analysis data-science data-visualization dimensionality-reduction machine-learning python python3

Last synced: 24 Jul 2025

https://github.com/passalis/sef

A Python Library for Similarity-based Dimensionality Reduction

dimensionality-reduction machine-learning pytorch

Last synced: 19 Apr 2025

https://github.com/xzhoulab/DRComparison

Comparison of dimensionality reduction methods

dimensionality-reduction single-cell-analysis

Last synced: 11 May 2025

https://github.com/asadiahmad/lda

Dimension Reduction with LDA

dimensionality-reduction linear-discriminant-analysis machine-learning machine-learning-algorithms

Last synced: 14 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/lastancientone/data-science

Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.

algorithms data-analysis data-science data-visualization datascience deep-learning dimensionality-reduction excel exploratory-data-analysis exploratory-data-visualizations feature-engineering inferential-statistics kaggle kaggle-competiton machine-learning model-tuning powerbi prediction python3 r

Last synced: 09 Apr 2025

https://github.com/asadiahmad/pca

Dimension Reduction with PCA

dimensionality-reduction machine-learning machine-learning-algorithms principal-component-analysis

Last synced: 14 Apr 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/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/davisidarta/fastlapmap

Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.

denoising dimensionality-reduction embedding feature-engineering laplacian-eigenmaps machine-learning multithreading python scikit-learn

Last synced: 10 Apr 2025

https://github.com/rubixml/har

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

classification cross-validation data-science dataset dimensionality-reduction example-project human-activity-recognition imu-sensor machine-learning machine-learning-tutorial momentum neural-network php php-machine-learning php-ml pipeline random-projection rubix-ml softmax-classifier

Last synced: 30 Jul 2025

https://github.com/flatironinstitute/online_psp_matlab

Benchmark of online PCA algorithms

dimensionality-reduction matlab online-pca-algorithms subspace-learning

Last synced: 02 Jul 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/ancatmara/data-science-nlp

NLP Section of the Data Science course, NRU HSE

classification clustering data-analysis data-science dimensionality-reduction embeddings fnn language-models morphological-analysis natural-language-processing nlp python regex russian-nlp syntactic-parsing topic-modelling tutorials

Last synced: 11 Jul 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/epigen/spilterlize_integrate

A Snakemake workflow and MrBiomics module to split, filter, normalize, integrate and select highly variable features of count matrices resulting from next-generation sequencing (NGS) experiments (e.g., RNA-seq, ATAC-seq, ChIP-seq, Methyl-seq, miRNA-seq,...) including confounding factor analysis and diagnostic visualizations.

atac-seq batch-effect bioinformatics biomedical-data-science chip-seq confounding-effects count-matrix dimensionality-reduction integration ngs normalization pipeline rna-seq snakemake visualization workflow

Last synced: 24 Aug 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/mpimd-csc/morgen

morgen - Model Order Reduction for Gas and Energy Networks

digital-twin dimensionality-reduction euler-equations gas-dynamics gas-flow gas-network gas-network-simulation gas-transport gasmor matlab model-order-reduction model-reduction morgen natural-gas octave

Last synced: 27 Dec 2025

https://github.com/nanxstats/enpls

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression

Last synced: 22 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

Last synced: 04 May 2025

https://github.com/grtlr/uapca

Uncertainty-aware principal component analysis.

dimensionality-reduction hacktoberfest machine-learning uncertainty visualization

Last synced: 20 Jun 2025

https://github.com/fperraudeau/singlecellworkflow

Tutorial for the analysis of scRNA-seq data in R

bioconductor clustering differential-expression dimensionality-reduction lineage normalization r single-cell single-cell-rna-seq workflow

Last synced: 12 Sep 2025

https://github.com/slipguru/adenine

ADENINE: A Data ExploratioN PipelINE

clustering-algorithm dimensionality-reduction exploratory-data-analysis machine-learning missing-data pipelines unsupervised-learning

Last synced: 01 May 2025

https://github.com/dell/jlt

Johnson-Lindenstrauss transform (JLT), random projections (RP), fast Johnson-Lindenstrauss transform (FJLT), and randomized Hadamard transform (RHT) in python 3.x

dimensionality-reduction fast-johnson-lindenstrauss-transform fjlt hadamard-transforms jlt johnson-lindenstrauss johnson-lindenstrauss-transform projection random-fourier-features random-projections rff rht srht

Last synced: 06 May 2025