Stable (er) Contains 5-run tests of all models

Some key take aways with this release:

• 75% of the code has been trashed and replaced. Code is now organized more similarly with the fastai gan.py file as well as the computer vision models.
  • Uses fasti tabular model for embeddable and linear state / general inputs
• jupyter notebooks with executable code displaying graphs.
• More interpreter improvements

Why the changes?

• Main motivation is making the "trained" models as separate from the rest of the fastrl API. This means that the models are not longer having data / learner / Action / State objects embedded inside them. This should be portability easier. The main code base that is heavily integrated with fastrl will be part of the training, but you could / will be able to run the models without fastrl once trained (in theory, we'll see)