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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 📐
DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
The main features of microsoft/directxmath are: Mathematical Libraries.
Open-source alternatives to microsoft/directxmath 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…
