muhammad-fiaz/num.zig: A production-grade, high-performance numerical computing library for Zig, designed with a clean, intuitive, and developer-friendly API similar to NumPy.

num.zig is a production-grade numerical computing library for Zig that provides NumPy-like functionality. It features N-dimensional arrays, broadcasting, linear algebra operations, statistics, FFT, machine learning components with a Sequential API, and automatic differentiation. The library is memory-safe, cross-platform, has zero dependencies, and includes optimized algorithms like tiled matrix multiplication. Currently under active development with GPU acceleration planned for future releases.