Experimental class-conditional Gaussian models.
The dependencies can be installed within a Pipenv with the following commands:
pipenv install --categories "packages torch_cpu"
PyTorch may require different versions depending on the machine it is running on. The default command is for non-CUDA machines while swapping torch_cpu for torch_cu117 installs PyTorch for CUDA 11.7. If a non-default version of PyTorch is required then generate the appropriate Pip command on the PyTorch website then run it within the Pipenv by prepending pipenv run to it.