A playbook for systematically maximizing the performance of deep learning models.

The data science project used in my Datacamp course Unit Testing for Data Science in Python

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

Research papers with annotations, illustrations and explanations

The fastai book, published as Jupyter Notebooks

NYU Deep Learning Spring 2020