dimension-reduction topic

emgr -- EMpirical GRamian Framework

gramian

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

milescsmith

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

NourozR

Sparse Principal Component Analysis (SPCA) using Variable Projection

erichson

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.

parashardhapola

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

derohde

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...

gd-vae

sliced: scikit-learn compatible sufficient dimension reduction

joshloyal

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

ai-on-browser

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

dksifoua