d2l-pytorch
This repository provides a full PyTorch adaptation of the 'Dive Into Deep Learning' book, shifting from the original MXNet base. It spans key concepts in deep learning including data manipulation, linear regression, attention mechanisms, and computer vision, across various detailed chapters. The project welcomes contributions for continuous enhancement, serving as a valuable resource for developers aiming to advance their PyTorch deep learning skills. It is recommended to clone the repository or employ nbviewer for optimal notebook viewing.
