Top 6 dimension-reduction open source projects

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

Fast k-Nearest Neighbors Classifier for Large Datasets

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

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

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

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.