Projects in Awesome Lists tagged with dimension-reduction

https://github.com/lisitsyn/tapkee

A flexible and efficient С++ template library for dimension reduction

Last synced: 06 Apr 2025

https://github.com/isee/isee

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

clustering dimension-reduction feature-extraction gene-expression gui hacktoberfest human-cell-atlas shiny single-cell transcriptomics visualization

Last synced: 20 Oct 2025

https://github.com/iSEE/iSEE

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

clustering dimension-reduction feature-extraction gene-expression gui hacktoberfest human-cell-atlas shiny single-cell transcriptomics visualization

Last synced: 30 Jul 2025

https://github.com/chasedehan/BoostARoota

A fast xgboost feature selection algorithm

algorithm boruta data-science datascience datascientist dimension-reduction feature-selection machine-learning machine-learning-algorithms machinelearning xgboost xgboost-algorithm

Last synced: 16 Nov 2025

https://github.com/chasedehan/boostaroota

A fast xgboost feature selection algorithm

algorithm boruta data-science datascience datascientist dimension-reduction feature-selection machine-learning machine-learning-algorithms machinelearning xgboost xgboost-algorithm

Last synced: 05 Apr 2025

https://github.com/markovmodel/deeptime

Deep learning meets molecular dynamics.

autoencoder computational-biology computational-chemistry data-analysis deep-learning dimension-reduction machine-learning markov-model python pytorch tensorflow time-series

Last synced: 13 May 2025

https://github.com/BallisticLA/RandBLAS

A header-only C++ library for sketching in randomized linear algebra

dimension-reduction linear-algebra numerical-linear-algebra sketching

Last synced: 09 Jul 2025

https://github.com/erichson/spca

Sparse Principal Component Analysis (SPCA) using Variable Projection

dimension-reduction dimensionality-reduction pca spca

Last synced: 20 Feb 2026

https://github.com/davpinto/fastknn

Fast k-Nearest Neighbors Classifier for Large Datasets

decision-boundaries dimension-reduction feature-engineering feature-extraction kaggle knn nearest-neighbors rstats shrinkage-estimator

Last synced: 13 Jul 2025

https://github.com/kisungyou/rdimtools

Dimension Reduction and Estimation Methods

dimension-estimation dimension-reduction manifold-learning r subspace-learning

Last synced: 06 May 2025

https://github.com/corybrunson/ordr

manage ordinations and render biplots in a tidyverse workflow

biplot data-visualization dimension-reduction geometric-data-analysis grammar-of-graphics log-ratio-analysis multivariate-analysis multivariate-statistics ordination tidymodels tidyverse

Last synced: 12 Apr 2025

https://github.com/joshloyal/sliced

sliced: scikit-learn compatible sufficient dimension reduction

dimension-reduction dimensionality-reduction feature-selection machine-learning machine-learning-algorithms python sufficient-dimension-reduction variable-selection

Last synced: 08 Feb 2026

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/friendly/candisc

Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

dimension-reduction multivariate-linear-models visualization

Last synced: 07 Apr 2025

https://github.com/gramian/hapod

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

data-driven data-reduction data-science datascience dimension-reduction distributed-memory high-performance-computing hpc limited-memory mapreduce mapreduce-algorithm model-order-reduction model-reduction pca pod proper-orthogonal-decomposition svd unsupervised-learning

Last synced: 06 May 2025

https://github.com/wecarsoniv/augmented-pca

Repository for the AugmentedPCA Python package.

adversarial-autoencoder adversarial-autoencoders adversarial-machine-learning augmented-pca augmentedpca autoencoder autoencoders dimension-reduction dimensionality-reduction factor-model factor-models fair-machine-learning linear-models machine-learning pca principal-component-analysis representation-learning supervised-autoencoder supervised-autoencoders

Last synced: 14 Jan 2026

https://friendly.github.io/ggbiplot/

A ggplot2 based biplot for principal components-like methods

biplot data-visualization dimension-reduction principal-component-analysis

Last synced: 25 Nov 2025

https://github.com/westlake-ai/dmt-learn

An Explainable Deep Network for Dimension Reduction

data-science dimension-reduction python

Last synced: 07 Aug 2025

https://github.com/westlake-ai/inv-ml

[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction

autoencoder deep-learning dimension-reduction invertible-models manifold-learning mnist pytorch tsne umap visualization

Last synced: 02 Mar 2026

https://github.com/friendly/vis-mlm-book

Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R"

dimension-reduction linear-regression manova multivariate-analysis visualization

Last synced: 04 Jul 2025

https://github.com/zjwang1013/sparsegfm

sparseGFM implements sparse generalized factor models for dimension reduction and variable selection in high-dimensional continuous, count, and binary data. Stable release available on CRAN (https://cran.r-project.org/package=sparseGFM); development version hosted on GitHub.

dimension-reduction factor-models penalized-regression variable-selection

Last synced: 22 Oct 2025

https://github.com/vi/csvdimreduce

Command-line tool to run a dimensionality reduction algorithm on CSV files

cli command-line-tool csv csv-files data-science data-visualization dimension-reduction dimensionality-reduction

Last synced: 14 Apr 2025

https://github.com/yas-sim/face-feature-visualization

This program demonstrates how to plot face feature vectors on a 2-D chart using t-SNE method to compress dimension of the vectors

deep-learning dimension-reduction face-features facial-features facial-features-detection feature-vectors intel openvino openvino-toolkit python stochastic-neighbor-embedding t-distributed-stochastic

Last synced: 04 Jul 2026

https://github.com/altunenes/asap-rs

Rust implementation of Automatic Smoothing for Attention Prioritization for Time Series

algorithms data-normalization data-smoothing data-visualization dimension-reduction fft fourier-transform signal-processing smoothing time-series time-series-analysis

Last synced: 04 Jan 2026

https://github.com/ericyang789/parallel-compute-project

C implementation of t-SNE with parallelization optimization

dimension-reduction tsne-algorithm

Last synced: 17 Jul 2026

https://github.com/ascillitoe/eq-reduce

A dash app to perform data-driven dimension reduction with polynomials.

dash dimension-reduction flowfield-estimation machine-learning plotly polynomials python

Last synced: 02 Jul 2026

https://github.com/ascillitoe/gaussian_flowfield_approx

Example code for the AIAA Scitech 2021 paper "Instantaneous Flowfield Estimation with Gaussian Ridges".

dimension-reduction flowfield-estimation gaussian-processes machine-learning python

Last synced: 27 Apr 2026

https://github.com/freakwill/dred

🔴 dred = dimension reducing for machine learning (suit to sklearn)

dimension-reduction scikit-learn sklearn sklearn-estimator

Last synced: 19 May 2026

https://github.com/jelhamm/singular-value-decomposition-data-mining

"This repository hosts an implementation of the Singular Value Decomposition (SVD) algorithm tailored for data mining tasks. SVD is utilized for efficient dimensionality reduction, aiding in the extraction of key patterns and features from large and complex datasets."

data-analysis dimension-reduction jyputer-notebook machine-learning matplotlib numpy-library pandas-library preprocessing python scipy-library singular-value-decomposition sklearn-library standardscaler svd svd-matrix-factorisation

Last synced: 18 May 2026

https://github.com/chirindaopensource/high_dimensional_matrix_variate_diffusion_index_models

End-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features α-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.

diffusion-index dimension-reduction econometrics factor-models financial-modeling high-dimensional-statistics macroeconomic-forecasting matrix-factorization monte-carlo-simulation numpy principal-component-analysis python quantitative-finance research-replication scientific-computing statistical-computing statistical-modeling supervised-learning time-series-analysis time-series-forecasting

Last synced: 29 Apr 2026

https://github.com/vishal815/linear-algebra-and-pca-visualizations-code-and-solved-numerical-notes

Explore Linear Algebra & PCA. Python PCA visualizations for dimensionality reduction. Solved 2x2 & 3x3 matrix problems for practical understanding. Ideal for learners & professionals. Strengthen your math skills today!

analytics data-science dataanalytics datavisualization dimension-reduction dimensionality-reduction eigenvalues eigenvectors linear-algebra macine-learning math matrix numerical-methods pca pca-analysis python stastic stastical-learning vishallazrus visulization

Last synced: 01 May 2026

https://github.com/ammahmoudi/covid-19-autoencoder

Using Autoencoder in keras as a nonlinear dimensionality reduction method to encode COVID-19 patients data

autoencoder covid-19 deep-learning deep-neural-networks dimension-reduction keras-tensorflow machine-learning ml

Last synced: 10 Jul 2026

https://github.com/nshkrdotcom/ml_musings

Foundations: A premium, hands-on educational curriculum exploring high-dimensional geometry, measure concentration, linear probing, self-attention routing, PEFT (LoRA and SVD surgery), evolution strategies, and sparse Mixture of Experts (MoE) gating. Written from scratch in Numerical Elixir (Nx) and compiled via EXLA.

artificial-intelligence attention-mechanism automatic-differentiation black-box-optimization deep-learning dimension-reduction education elixir elixir-nx evolution-strategy exla gpu-acceleration gradient-descent high-dimensional-geometry linear-probing lora machine-learning mixture-of-experts neural-networks nshkr-research

Last synced: 09 Jun 2026

https://github.com/jstzwj/drpy

Python package for Dimensionality Reduction

dimension-reduction scientific-computing

Last synced: 01 Apr 2025

https://github.com/ascillitoe/flowfield-approx

Supplementary material for the 2021 paper "Polynomial Ridge Flowfield Estimation".

dimension-reduction flowfield-estimation machine-learning python

Last synced: 23 Mar 2025

https://github.com/ascillitoe/probe-subspaces

Datasets and example code used in the 2020 ASME Turbo Expo Paper "Design space exploration of stagnation temperature probes via dimension reduction".

cfd data-science dimension-reduction effective-quadratures polynomial-regression temperature-probe temperature-sensor

Last synced: 23 Mar 2025

https://github.com/richardbnk/generative_ai

Study for Generative AI

dimension-reduction generative-ai nlp nlp-machine-learning nlp-models nltk sentiment-analysis sentiment-classification

Last synced: 30 Jul 2025

https://github.com/mvinyard/flexinet

flexinet: flexible torch neural network composition

dimension-reduction neural-networks pytorch torch vae

Last synced: 11 Apr 2026

https://github.com/asadiahmad/image-classification-lda-and-pca

Image Classification with Perceptron and LDA and PCA dimension reduction

dimension-reduction image image-classification linear-discriminant-analysis machine-learning machine-learning-algorithms mnist mnist-classification perseptron perseptron-classification principal-component-analysis

Last synced: 27 Mar 2025

https://github.com/edanur-y/analysis-of-banks-ratio-data

Performing factor, cluster and discriminant analysis. ⭕SPSS

cluster-analysis complete-linkage dimension-reduction discriminant-analysis factor-analysis spss two-step-clustering

Last synced: 16 Feb 2026

https://github.com/orestouio/algorithmic-software-development

Algorithmic problem-solving project using autoencoders for dimension reduction, nearest neighbor search algorithms, and K-means clustering. Developed as part of a university course on software development for algorithmic problems.

autoencoder clustering dimension-reduction hypercube k-means lsh machine-learning nearest-neighbor

Last synced: 22 Apr 2025