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 📐
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.
Las características principales de jhumphry/lalg son: Mathematical Libraries.
Las alternativas de código abierto para jhumphry/lalg incluyen: 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…
