Tutorial - Migrating from Catalyst Catalyst code Using callbacks Changing the model Tutorial - Migrating from Catalyst Incrementally adding fastai goodness to your Cata...

Tutorial - Migrating from pure PyTorch Tutorial - Migrating from pure PyTorch Incrementally adding fastai goodness to your PyTorch models from fastai . vision . all imp...

Tutorial - Migrating from Ignite Tutorial - Migrating from Ignite Incrementally adding fastai goodness to your Ignite training We’re going to use the MNIST training code ...

How to launch a distributed training Prepare your script Add the distributed initialization Make your learner distributed Launch your training How to launch a distributed t...

External data Config [source] class URLs [source] Downloading download_url [source] download_data [source] Extract file_extract [source] newest_folder [source] ...

datasets class URLs [source] [test] Downloading Data untar_data [source] [test] download_data [source] [test] datapath4file [source] [test] url2path [source] [test]...

overview Core modules of fastai basic_data layers core torch_core Usage overview Overview of the core modules Note: To get started with fastai, have a look at t...

Computer vision Single-label classification Cats vs dogs Classifying breeds Single-label classification - With the data block API Multi-label classification Multi-label classif...

Questionnaire Further Research Questionnaire Why do we say that fastai has a “layered” API? What does it mean? Why does a Transform have a decode method? What does it do? W...

Helper functions for processing data and basic transforms Get, split, and label Get get_files [source] FileGetter [source] get_image_files [source] ImageGetter [source] ...