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 📐
Library for specialized dense and sparse matrix operations, and deep learning primitives.
A zero-dependency ML framework in C with a modern Python API for full control over execution and memory.