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.
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
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.