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dimension-reduction

Here are 90 public repositories matching this topic...

lisitsyn / tapkee

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

machine-learning dimension-reduction

Updated Jul 5, 2019
C++

iSEE / iSEE

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

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

Updated Nov 26, 2021
R

chasedehan / BoostARoota

A fast xgboost feature selection algorithm

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

Updated Apr 1, 2021
Python

fengyang95 / tiny_ml

numpy 实现的周志华《机器学习》书中的算法及其他一些传统机器学习算法

machine-learning clustering numpy svm regression python3 classification gbdt ensemble decision-tree dimension-reduction boosting lr

Updated Dec 6, 2019
Python

markovmodel / deeptime

Deep learning meets molecular dynamics.

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

Updated May 3, 2019
Jupyter Notebook

erichson / ristretto

Randomized Dimension Reduction Library

python pca svd principal-component-analysis dimension-reduction lu-decomposition singular-value-decomposition randomized-algorithm nonnegative-matrix-factorization matrix-approximation dynamic-mode-decomposition

Updated Apr 17, 2021
Jupyter Notebook

erichson / rSVD

Randomized Matrix Decompositions using R

cran pca svd principal-component-analysis dimension-reduction singular-value-decomposition randomized-algorithm matrix-approximation probabilistic-algorithms

Updated Apr 13, 2021
R

davpinto / fastknn

Fast k-Nearest Neighbors Classifier for Large Datasets

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

Updated Sep 17, 2017
R

erichson / spca

Sparse Principal Component Analysis (SPCA) using Variable Projection

pca dimensionality-reduction dimension-reduction spca

Updated Apr 7, 2018
R

davisidarta / topometry

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

visualization data-science machine-learning clustering graphs scikit-learn data-visualization information-visualization dimensionality-reduction topology-visualiztion dimension-reduction topological-data-analysis knowledge-representation topology-optimization single-cell-genomics single-cell-analysis single-cell-omics data-topology

Updated Mar 18, 2022
Python

parashardhapola / scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

bioinformatics big-data genomics clustering scrna-seq graph-analytics memory-efficient tsne differential-expression umap dimension-reduction single-cell-genomics single-cell-rna-seq scalable-data-analysis single-cell-atac-seq multiomics cite-seq pseudotime scatac-seq gene-modules

Updated Jan 6, 2022
Python

kisungyou / Rdimtools

Dimension Reduction and Estimation Methods

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

Updated Feb 4, 2022
R

NourozR / Reconstruction-and-Compression-of-Color-Images

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

computer-vision image-processing principal-component-analysis dimension-reduction

Updated Jun 3, 2020
Python

milescsmith / ReductionWrappers

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

python wrapper bioinformatics dimensionality-reduction tsne forceatlas2 umap dimension-reduction force-directed-graphs wrappers seurat singlecellexperiment singlecellexperiment-objects paga phate opentsne pacmap dimensional-reduction

Updated Mar 12, 2022
R

ejohnson643 / EMBEDR

Statistical quality evaluation of dimensionality reduction algorithms

high-dimensional-data dimensionality-reduction dimension-reduction scrna-seq-analysis high-dimension-visualization

Updated Jan 26, 2022
Jupyter Notebook

emgr

gramian / emgr

emgr -- EMpirical GRamian Framework

matlab reduction octave control-systems control-engineering unsupervised-learning nonlinear-dynamics system-identification model-reduction cross-gramian controllability observability empirical-gramians model-order-reduction dimension-reduction dmd identifiability system-gramians minimality parameter-space-reduction

Updated Jul 28, 2021
MATLAB

hippylib / hippyflow

Dimension reduced surrogate construction for parametric PDE maps

deep-learning neural-networks dimensionality-reduction reduced-basis dimension-reduction proper-orthogonal-decomposition surrogate-models reduced-order-surrogate-model active-subspace karhunen-loeve reduced-order-modeling parametric-pde parametric-pdes

Updated Mar 2, 2022
Python

derohde / Fred

A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.

python algorithm time-series clustering dynamic-time-warping dimension-reduction distance-calculation frechet-distance sequential-data fr-chet-distance frechet polygonal-chain continuous-frechet-distance dimensional-polygonal-curves nearest-centers sampling-algorithms polygonal-curves

Updated Nov 21, 2021
C++

voidism / ML2018SPRING

NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

machine-learning deep-learning linear-regression matrix-factorization rnn autoencoder logistic-regression dimension-reduction cnn-classification ntuee response-selection hung-yi-lee

Updated Jul 22, 2018
Python

friendly / candisc

Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

visualization dimension-reduction multivariate-linear-models

Updated Feb 18, 2022
R

joshloyal / sliced

sliced: scikit-learn compatible sufficient dimension reduction

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

Updated Mar 21, 2020
Python

mainkoon81 / Study-09-MachineLearning-E

**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)

silhouette kmeans-clustering dimension-reduction model-based-clustering randindex

Updated Oct 13, 2019
Jupyter Notebook

dksifoua / Stock-Market-Prediction

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

python deep-neural-networks random-forest generative-adversarial-network logistic-regression convolutional-neural-networks decision-trees support-vector-machines gaussian-processes bayesian-optimization technical-indicators dimension-reduction stacking gradient-boosting computational-finance stock-market-prediction high-frequency-trading stacked-autoencoder reccurent-neural-network

Updated Sep 21, 2020
Jupyter Notebook

gramian / hapod

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

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

Updated Aug 23, 2021
MATLAB

corybrunson / ordr

Open

methods for additional functions and classes

corybrunson commented Feb 22, 2021

This issue will list ordination functions and classes for which ordr methods are desired. When methods for a class have been added, strike out the item rather than deleting it.

stats::cancor() (implement method to return object of class 'cancor_ord')
stats::factanal() (class 'factanal')
MASS::corresp() (class 'correspondence')
ca::mjca() (class 'mjca')

Read more

good first issue

Open

projection (prediction) and vector sum (interpolation) geoms

5

soumenca / An-Efficient-Gaussian-Kernel-Based-Fuzzy-Rough-Set-Approach-for-Feature-Selection

An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection

data-science machine-learning feature-selection data-analytics dimensionality-reduction fuzzy-sets dimension-reduction rough-sets gaussian-kernel reduct fuzzy-rough-set hybrid-decision-systems

Updated Jun 25, 2018
R

wecarsoniv / augmented-pca

Repository for the AugmentedPCA Python package.

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

Updated Dec 5, 2021
Python

mlesnoff / rchemo

R package for regression and discrimination, with special focus on chemometrics and high-dimensional data (This package is only maintained. The new current package is "Jchemo", under construction in Julia language)

signal-processing svm fda pca kernel-methods ridge-regression regression-models knn dimension-reduction latent-variable-models chemometrics non-linear-regression discrimination partial-least-squares-regression kernel-pca plsda lwplsr lwplsda ridge-discrimination

Updated Dec 2, 2021
R

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.

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

Updated Jul 27, 2020
Python

ai-on-browser / ai-on-browser.github.io

Machine learning and data analysis package implemented in JavaScript and its online demo.

javascript demo machine-learning reinforcement-learning ai clustering interpolation regression feature-selection generative-model classification smoothing data-analysis segmentation edge-detection dimension-reduction anomaly-detection change-point-detection timeseries-forecasting semi-supervised-classification

Updated Mar 20, 2022
JavaScript

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