Awesome GitHub RepositoriesAutomatic Differentiation Systems

PyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic diffe

Implements a dynamic, tape-based mechanism to compute gradients for flexible neural network training.

This project is an open-source, interactive educational platform designed to teach deep learning through a comprehensive, code-first curriculum. It provides a structured learning path that covers foundational mathematics, modern neural network architectures, and practical optimization techniques, enabling practitioners

Utilizes computational graphs to automatically derive gradients for neural network training.