/ Machine Learning

A Deep Dive into NLP with PyTorch

A Deep Dive into NLP with PyTorch

pytorch-nlp-notebooks

Learn how to use PyTorch to solve some common NLP problems with deep learning. View these notebooks on nbviewer.

Tutorials

Events Dates Slides
PyData London 2019 12 Jul 2019 link
PyData Cambridge 2019 15 Nov 2019 link
DS Con Belgrade 2019 18 Nov 2019 link

Setup

Make sure you have a Google account and visit Google Colab. You should see a list of notebooks pop up:

pytorch-nlp-notebooks-1

If you have trouble with that, you can also save the notebook you want to run from this repo to your local filesystem, and then upload it to Google Colab with File -> Open Notebook -> Upload.

Basic Navigation

You can run cells with <SHIFT> + <ENTER>.

Missing packages

If you find that you are missing a necessary package, you can prepend ! to a bash command. For example, to install googledrivedownloader, you would run in a cell:

!pip install googledrivedownloader

Using a GPU

To use a GPU (for free!), select from the top menu from Colab Runtime -> Change Runtime Type -> Hardware Accelerator -> GPU. Pay attention to how much memory the GPU is currently using by clicking Runtime -> Manage Sessions.

Contributing

Feel free to submit a PR for cleanups, error-fixing, or adding new (relevant) content!

GitHub

Comments