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A lightweight high performance tensor algebra framework for modern C++
The main features of romeric/fastor are: Mathematical Libraries, Math and Physics.
Projects with overlapping indexed features include: sgorsten/linalg — linalg.h is a single header, public domain, short vector math library for C++. 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. ashvardanian/numkong — SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit…
linalg.h is a single header, public domain, short vector math library for C++
Fast, easy automatic differentiation in 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 📐
