Uncertainty-wizard

New Feature:
- 92 Added `DeepGini` as a point-prediction based quantifier. This is part of our most recent [issta paper](https://arxiv.org/abs/2205.00664) .

Bugfix:
- 86 Added a missing alias to the `PredictiveEntropy` quantifier

Release Notes:

- Allow model independent tasks on ensembles, i.e., tasks where no model is loaded or persisted. This can typically be helpful for pre- or postprocessing tasks which have to be conducted for every model, but are independent of said model. (50)
- A context manager for ensembles that runs only on CPU, even if GPUs are available. (52)
- Tasks on ensemble methods (create, consume, predict, predict_quantified, ...) can now be executed on a selected subset of models. There are many use-cases for this. For example, it can be used if you need to re-train only one model in an ensemble, or if you have multiple distinct machines create atomic models for the same ensemble at the same time, using a shared drive. (65)
- Minor updates to documentation and code comments (51, 73)

[Refactor]
- **Refactor broadcasting and aggregation logic of stochastic models into a separate class** \
As a side effect, this allows broadcasting behavior to be overriden by users: Extend `uwiz.models.stochastic_utils.Broadcaster` or`uwiz.models.stochastic_utils.DefaultBroadcaster` and pass it as `broadcaster=...` when calling `predict_quantified`.

This release contains no functional changes, but various minor updates to the project description and docstrings.

Docs and Description Updates

Initial public release.

Note: This is not yet tested on tensorflow 2.4 (which has been released only a couple of days ago)