How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
This is an Ada 2012 package that provides an interface to dense linear algebra packages. Initially the focus is on BLAS, which has been covered except for routines working on banded matrices.
The main features of jhumphry/lalg are: Mathematical Libraries.
Open-source alternatives to jhumphry/lalg include: auburns/fastnoisesimd — C++ SIMD Noise Library. auto-differentiation/xad — Fast, easy automatic differentiation in C++. autodiff/autodiff — automatic differentiation made easier for C++. b-k/apophenia — A C library for statistical and scientific computing. boostorg/multiprecision — Boost.Multiprecision. ashvardanian/numkong — SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit…
Fast, easy automatic differentiation in C++
automatic differentiation made easier for C++
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
