Sequences, Time Series and Prediction course material with PyTorch

Implementation of all the code for the Sequences, Time Series and Prediction course written in PyTorch.

For using the package, you can use the popular hatch environment manager:

python -m pip install hatch

# get into a shell with all dependencies installed
python -m hatch shell

# execute a Jupyter notebook with a summary of all the lessons
# using the PyTorch implementation
# NB: make sure to select the `time_series` kernel for executing the notebook
python -m hatch run ts-notebook

For more information, check the accompanying blogpost.