by scoutbee

Learn how to use PyTorch to solve some common NLP problems with deep learning.

258 Stars 90 Forks Last release: Not found 70 Commits 0 Releases

Available items

No Items, yet!

The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:

A Deep Dive into NLP with PyTorch

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


| 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 |


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


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
, 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


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

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.