Run tracking with MLflow

Description

This PR refactores current tracking with Wieghts and Biases to be more abstract:

from now, all calls for logging are realised with additional abstract class TrackingBackend
implemented specialisation of TrackingBackend for wandb and mlflow,
avaiable launch arguments for --track are now dynamicaly generated from avaiable packages (attempts to import wandb and import mlflow)

In addition:

extended tracking information with more tags with packages version (rl-zoo3, sb3-contrib),
all git repositories within working dir are validated - there should be no uncommitted changes.
all commit hashes are logged as the run tag.

[ ] I have raised an issue to propose this change (required for new features and bug fixes) Ongoing research in CEAI is focused on logging everything internally to a self-hosted MLflow instance.

[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to change)
[ ] Documentation (update in the documentation)

[ ] I've read the CONTRIBUTION guide (required)
[ ] I have updated the changelog accordingly (required).
[ ] My change requires a change to the documentation.
[ ] I have updated the tests accordingly (required for a bug fix or a new feature).
[ ] I have updated the documentation accordingly.
[ ] I have reformatted the code using make format (required)
[ ] I have checked the codestyle using make check-codestyle and make lint (required)
[ ] I have ensured make pytest and make type both pass. (required)

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