1. Less boilerplate, so you can focus on your algorithm; best practices built in, so you might be surprised at how your speed and accuracy may improve 2. Very

1. Less boilerplate, so you can focus on your algorithm; best practices built in, so you might be surprised at how your speed and accuracy may improve 2. Very close integration with PyTorch. fastai is designed to extend PyTorch, not hide it. E.g. fastai uses standard PyTorch Datasets for data, but then provides a number of pre-defined Datasets for common tasks 3. fastai is not slower than PyTorch, since PyTorch is handling all the computation. It'll othen be faster than your handwritten PyTorch however, since we went to a lot of effort to use performant algorithms.