shahrukhx01/reproducible-dl-course

The aim of this practical course is to start from a simple deep learning model implemented in a notebook, and port it to a ‘reproducible’ world by including code versioning (Git), data versioning (DVC), experiment logging (Weight & Biases), hyper-parameter tuning, configuration (Hydra), and ‘Dockerization’.

Jupyter NotebookApache-2.0