dimension-reduction

There are 1 repository under dimension-reduction topic.

lisitsyn / tapkee
A flexible and efficient С++ template library for dimension reduction
dimension-reduction machine-learning
Language:C++ 231
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
Language:R 221
chasedehan / BoostARoota
A fast xgboost feature selection algorithm
machine-learning machine-learning-algorithms feature-selection xgboost-algorithm xgboost dimension-reduction algorithm boruta data-science datascientist datascience machinelearning
Language:Python 211
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
python3 numpy svm lr ensemble boosting machine-learning clustering decision-tree gbdt regression classification dimension-reduction
Language:Python 211
markovmodel / deeptime
Deep learning meets molecular dynamics.
pytorch tensorflow dimension-reduction markov-model data-analysis machine-learning autoencoder time-series computational-biology computational-chemistry python deep-learning
Language:Jupyter Notebook 172
erichson / ristretto
Randomized Dimension Reduction Library
dimension-reduction singular-value-decomposition randomized-algorithm lu-decomposition nonnegative-matrix-factorization principal-component-analysis matrix-approximation svd python pca dynamic-mode-decomposition
Language:Jupyter Notebook 110
erichson / rSVD
Randomized Matrix Decompositions using R
dimension-reduction svd principal-component-analysis probabilistic-algorithms cran randomized-algorithm singular-value-decomposition matrix-approximation pca
Language:R 96
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 single-cell-genomics single-cell-rna-seq dimension-reduction clustering umap tsne big-data cite-seq single-cell-atac-seq memory-efficient scalable-data-analysis scrna-seq scatac-seq pseudotime multiomics gene-modules differential-expression graph-analytics genomics
Language:Python 89
davpinto / fastknn
Fast k-Nearest Neighbors Classifier for Large Datasets
rstats kaggle decision-boundaries shrinkage-estimator knn nearest-neighbors feature-extraction feature-engineering dimension-reduction
Language:R 67
erichson / spca
Sparse Principal Component Analysis (SPCA) using Variable Projection
spca pca dimensionality-reduction dimension-reduction
Language:R 58
BallisticLA / RandBLAS
A header-only C++ library for sketching in randomized linear algebra
dimension-reduction linear-algebra numerical-linear-algebra sketching
Language:C++ 53
kisungyou / Rdimtools
Dimension Reduction and Estimation Methods
manifold-learning dimension-reduction dimension-estimation subspace-learning r
Language:R 48
derohde / Fred
A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.
polygonal-chain frechet-distance time-series clustering dimension-reduction continuous-frechet-distance fr-chet-distance dimensional-polygonal-curves nearest-centers python sampling-algorithms polygonal-curves sequential-data algorithm frechet distance-calculation dynamic-time-warping trajectory trajectory-analysis trajectory-clustering
Language:C++ 41
hippylib / hippyflow
Dimension reduced surrogate construction for parametric PDE maps
neural-networks dimension-reduction dimensionality-reduction reduced-order-surrogate-model reduced-order-modeling reduced-basis active-subspace karhunen-loeve proper-orthogonal-decomposition parametric-pde parametric-pdes surrogate-models deep-learning
Language:Python 35
milescsmith / ReductionWrappers
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
singlecellexperiment seurat wrapper singlecellexperiment-objects bioinformatics paga umap phate tsne opentsne forceatlas2 force-directed-graphs python wrappers pacmap dimensionality-reduction dimension-reduction dimensional-reduction
Language:R 35
NourozR / Reconstruction-and-Compression-of-Color-Images
Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm
image-processing computer-vision dimension-reduction principal-component-analysis
Language:Python 33
ejohnson643 / EMBEDR
Statistical quality evaluation of dimensionality reduction algorithms
dimensionality-reduction dimension-reduction scrna-seq-analysis high-dimensional-data high-dimension-visualization
Language:Jupyter Notebook 29
corybrunson / ordr
manage ordinations and render biplots in a tidyverse workflow
ordination biplot multivariate-analysis tidyverse geometric-data-analysis dimension-reduction multivariate-statistics tidymodels data-visualization grammar-of-graphics log-ratio-analysis
Language:R 19
emgr
gramian / emgr
emgr -- EMpirical GRamian Framework
matlab model-reduction octave cross-gramian reduction controllability observability control-systems nonlinear-dynamics empirical-gramians model-order-reduction system-gramians identifiability minimality control-engineering dmd system-identification dimension-reduction unsupervised-learning parameter-space-reduction
Language:MATLAB 19
joshloyal / sliced
sliced: scikit-learn compatible sufficient dimension reduction
machine-learning machine-learning-algorithms dimension-reduction dimensionality-reduction feature-selection variable-selection python sufficient-dimension-reduction
Language:Python 19
gd-vae / gd-vae
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
autoencoder-neural-network deep-learning dimension-reduction dynamical-systems geometric-algorithms geometric-deep-learning latent-spaces machine-learning manifold-learning neural-networks parameterized-systems point-cloud pytorch-implementation topological-data-analysis variational-autoencoder
Language:TeX 18
dksifoua / Stock-Market-Prediction
Stock Market Prediction on High-Frequency Data Using soft computing based AI models
stock-market-prediction python high-frequency-trading computational-finance deep-neural-networks logistic-regression decision-trees support-vector-machines random-forest gradient-boosting stacking dimension-reduction gaussian-processes bayesian-optimization stacked-autoencoder reccurent-neural-network convolutional-neural-networks generative-adversarial-network technical-indicators
Language:Jupyter Notebook 17
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-analysis multivariate-regression multivariate-statistics multivariate-linear-regression multivariate-data multivariate multivariate-distributions concrete pca pca-analysis factor-analysis canonical-correlation-analysis redundancy-analysis partial-least-squares-regression partial-least-squares pls nmds mds dimension-reduction dimensionality-reduction
Language:Python 16
friendly / candisc
Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
multivariate-linear-models visualization dimension-reduction
Language:R 15
ai-on-browser / ai-on-browser.github.io
Machine learning and data analysis package implemented in JavaScript and its online demo.
ai machine-learning data-analysis clustering classification regression interpolation anomaly-detection dimension-reduction feature-selection smoothing change-point-detection reinforcement-learning demo timeseries-forecasting javascript segmentation edge-detection semi-supervised-classification generative-model
Language:JavaScript 14
gramian / hapod
HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition
model-reduction model-order-reduction pod svd pca dimension-reduction data-reduction data-driven data-science datascience hpc high-performance-computing limited-memory distributed-memory unsupervised-learning proper-orthogonal-decomposition mapreduce mapreduce-algorithm
Language:MATLAB 14
mlesnoff / rchemo
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
dimension-reduction discrimination chemometrics knn regression-models lwplsr kernel-methods ridge-regression pca partial-least-squares-regression non-linear-regression plsda latent-variable-models lwplsda svm signal-processing ridge-discrimination kernel-pca fda spectroscopy
Language:R 14
katiana22 / latent-deeponet
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
deeponet dimension-reduction fluid-dynamics latent-spaces materials-science neural-operators partial-differential-equations regression
Language:Python 10
mainkoon81 / Study-09-MachineLearning-E
**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)
kmeans-clustering randindex silhouette model-based-clustering dimension-reduction
Language:Jupyter Notebook 10
pcastellanoescuder / POMA
:package: Tools for Omics Data Analysis
statistical-analysis r r-package bioinformatics workflow pipeline bioconductor data-visualization user-friendly exploratory-data-analysis pre-processing dimension-reduction machine-learning omics-data-integration rstats
Language:R 10
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
rough-sets feature-selection reduct fuzzy-sets fuzzy-rough-set dimensionality-reduction dimension-reduction machine-learning data-science data-analytics gaussian-kernel hybrid-decision-systems
Language:R 10
voidism / ML2018SPRING
NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)
machine-learning linear-regression logistic-regression cnn-classification autoencoder dimension-reduction rnn matrix-factorization response-selection ntuee deep-learning hung-yi-lee
Language:Python 10
wecarsoniv / augmented-pca
Repository for the AugmentedPCA Python package.
pca principal-component-analysis factor-model factor-models dimensionality-reduction dimension-reduction representation-learning machine-learning adversarial-machine-learning fair-machine-learning augmented-pca augmentedpca autoencoder autoencoders supervised-autoencoder adversarial-autoencoder adversarial-autoencoders linear-models supervised-autoencoders
Language:Python 10
sliao7 / CSE6740_Computational_Data_Analysis
All the course work of supervised and unsupervised algorithms and projects.
dimension-reduction neural-network clustering classification regression tree-based-methods
Language:Jupyter Notebook 8
cantinilab / scconfluence
A novel method for single-cell diagonal integration: scConfluence
dimension-reduction integration multiomics optimal-transport single-cell
Language:Python 7
friendly / ggbiplot
A ggplot2 based biplot for principal components-like methods
biplot data-visualization dimension-reduction principal-component-analysis
Language:HTML 6