The tutorial will cover models that learn patterns from sequences, specifically HMMs and RNNs.
The python code for this tutorial is presented as a collection of jupyter notebooks, with a docker container providing the environment. The tutorial makes use of the hmmlearn package, and the PyTorch library.
To start the notebook server, open a terminal, clone this repository, navigate to the base of of the repo, and run:
make run-notebook
The first time you run this command, the docker image will be built (which can take a few minutes).
Next, run:
make get-url
and open the URL in your browser. If all goes as intended, you will have a jupyter interface open in your browser.