Microcrad – Micrograd Reimplemented in C

Microcrad is a lightweight reimplementation of Andrej Karpathy’s Micrograd in C, providing a minimal automatic differentiation engine for building and training small neural networks. It is intended for developers and learners who want to understand the internals of backpropagation and autograd without Python overhead, making it an educational tool for low-level machine learning concepts. Its interest lies in demonstrating how a core ML algorithm can be expressed in a systems language, offering clarity and portability for embedded or performance-sensitive experimentation.