Skip to content

Latest commit

 

History

History
25 lines (14 loc) · 771 Bytes

README.md

File metadata and controls

25 lines (14 loc) · 771 Bytes
Raw

DeepConvLSTM_py3

DeepConvLSTM implemented in python 3 and pytorch

Included is an implementation of DeepConvLSTM in python 3 and torch, along with a jupyter notebook giving an example of training and testing the model on the Opportunity challenge dataset.

Opportunity example notebook

To interact with the notebook, you will need to install the requirements indicated in the requirements.txt file included in the repository. You will also need python >= 3.6.2. Once that is done, run

jupyter notebook opportunity_example.ipynb

Main script

After installing all dependencies in the requirements.txt file you will be able to run the main DeepConvLSTM_py3.py script. Use

python3 DeepConvLSTM_py3.py -h

for a list of command line options.