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Contributors
Last Commit
Dec. 12, 2017
Created
Jan. 22, 2017

Practical Pytorch

Learn PyTorch with project-based tutorials. These tutorials demonstrate modern techniques with readable code and use regular data from the internet.

Tutorials

Series 1: RNNs for NLP

Applying recurrent neural networks to natural language tasks, from classification to generation.

Series 2: RNNs for timeseries data

  • WIP Predicting discrete events with an RNN

Get Started

The quickest way to run these on a fresh Linux or Mac machine is to install Anaconda:

curl -LO https://repo.continuum.io/archive/Anaconda3-4.3.0-Linux-x86_64.sh
bash Anaconda3-4.3.0-Linux-x86_64.sh

Then install PyTorch:

conda install pytorch -c soumith

Then clone this repo and start Jupyter Notebook:

git clone http://github.com/spro/practical-pytorch
cd practical-pytorch
jupyter notebook

Recommended Reading

PyTorch basics

Recurrent Neural Networks

Machine translation

Attention models

Other RNN uses

Other PyTorch tutorials

Feedback

If you have ideas or find mistakes please leave a note.