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Last Commit
Dec. 16, 2018
Created
Jan. 22, 2017

These tutorials have been merged into the official PyTorch tutorials. Please go there for better maintained versions of these tutorials compatible with newer versions of PyTorch.


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.