Principal component computation using SVD and covariance matrix trick
Matrix decomposition algorithms for sklears: PCA, ICA, NMF, SVD
A linear algebra convenience library for the single-rust library. Can be used externally as well.
Rust-accelerated population genetics toolkit with ergonomic Python bindings
Shared algorithms and utilities for flow cytometry crates
Data transformation module for SciRS2 (scirs2-transform)
Single-cell analysis in Rust
randomized singular value decomposition (rSVD)
Topological Data Analysis for neural networks - persistent homology and topological features
A browser-optimized vector database
Logic-derived similarity kernels for SkleaRS integration
Embedding methods implemented in Rust: (parametric) UMAP, tSNE, PHATE, Diffusion Map and PacMAP.