#linear-algebra

OxiBLAS is a production-grade, pure Rust implementation of BLAS (Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra PACKage). Designed as the foundational linear algebra library for the SciRS2 scientific computing ecosystem.

Linear algebra package for rust-ndarray using LAPACK binding

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

A vector, quaternion, and matrix library targeted at embedded systems and robotics.

Return the least-squares solution to a linear matrix equation (rustlang, nalgebra)

The Arnoldi Method with Krylov-Schur restart, natively in Julia.

BLAS for gonum backed by simd.go: AVX-512, NEON, SVE2, RVV, VSX, VX, LASX. No cgo. One blas64.Use call accelerates gonum's mat, stat and optimize.

Python interface to the QDLDL (https://github.com/osqp/qdldl) free LDL factorization routine for quasi-definite linear systems