dimension-reduction
There are 138 repositories under dimension-reduction topic.
lisitsyn/tapkee
A flexible and efficient С++ template library for dimension reduction
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
iSEE/iSEE
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
chasedehan/BoostARoota
A fast xgboost feature selection algorithm
markovmodel/deeptime
Deep learning meets molecular dynamics.
erichson/ristretto
Randomized Dimension Reduction Library
erichson/rSVD
Randomized Matrix Decompositions using R
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.
BallisticLA/RandBLAS
A header-only C++ library for sketching in randomized linear algebra
davpinto/fastknn
Fast k-Nearest Neighbors Classifier for Large Datasets
erichson/spca
Sparse Principal Component Analysis (SPCA) using Variable Projection
katiana22/latent-deeponet
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
kisungyou/Rdimtools
Dimension Reduction and Estimation Methods
derohde/Fred
A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.
hippylib/hippyflow
Dimension reduced surrogate construction for parametric PDE maps
milescsmith/ReductionWrappers
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
NourozR/Reconstruction-and-Compression-of-Color-Images
Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm
ejohnson643/EMBEDR
Statistical quality evaluation of dimensionality reduction algorithms
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.
corybrunson/ordr
manage ordinations and render biplots in a tidyverse workflow
joshloyal/sliced
sliced: scikit-learn compatible sufficient dimension reduction
cantinilab/scconfluence
A novel method for single-cell diagonal integration: scConfluence
gramian/emgr
emgr -- EMpirical GRamian Framework
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.
dksifoua/Stock-Market-Prediction
Stock Market Prediction on High-Frequency Data Using soft computing based AI models
ai-on-browser/ai-on-browser.github.io
Machine learning and data analysis package implemented in JavaScript and its online demo.
friendly/candisc
Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
gramian/hapod
HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition
friendly/ggbiplot
A ggplot2 based biplot for principal components-like methods
voidism/ML2018SPRING
NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)
mainkoon81/Study-09-MachineLearning-E
**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)
pcastellanoescuder/POMA
:package: Omics Data Analysis Tools
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
sliao7/CSE6740_Computational_Data_Analysis
All the course work of supervised and unsupervised algorithms and projects.
wecarsoniv/augmented-pca
Repository for the AugmentedPCA Python package.
kevin931/CytofDR
A Python package for dimension reduction and evaluation workflows with CyTOF data.