Machine learning and data analysis package implemented in JavaScript and its online demo.
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Updated
May 30, 2024 - JavaScript
Machine learning and data analysis package implemented in JavaScript and its online demo.
A header-only C++ library for sketching in randomized linear algebra
A flexible and efficient С++ template library for dimension reduction
morgen - Model Order Reduction for Gas and Energy Networks
Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R"
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.
"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."
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
A ggplot2 based biplot for principal components-like methods
Dimension reduced surrogate construction for parametric PDE maps
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
DR.SC: Joint dimension reduction and spatial clustering for single-cell/spatial transcriptomics data
A Python package for dimension reduction and evaluation workflows with CyTOF data.
A novel method for single-cell diagonal integration: scConfluence
📦 Tools for Omics Data Analysis
The goal of this feature engineering project is feature reduction, feature selection and feature extraction.
manage ordinations and render biplots in a tidyverse workflow
Bayesian Wavelet Change Point Detection
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