This is a lightweight machine learning framework called Autograd.c, built from scratch in C by a developer inspired by Professor Vijay Janapa Reddi’s book “Machine Learning Systems.” Similar to a streamlined version of PyTorch, this project aims to help developers deeply understand the underlying principles of machine learning frameworks. By studying the source code, developers can learn how core concepts like automatic differentiation and tensor computation are implemented. Although compact, the framework includes all the essential components of a machine learning framework, making it a valuable resource for learning ML system architecture. For tech professionals looking to understand the inner workings of deep learning frameworks, this open-source project offers a rare learning opportunity.
