removed all partial imports and all import * with the aim of avoiding potential circular imports issues and increase readability. Fixed a couple bugs along the way

Manually bringing all the mkdocs changes to the self supervised branched as the conflicts were somehow too much to make it happen via sublime merge or vscode...I am at utils. After this we need to test callbacks for self supervised. Then the usual overall checks and install checks and make the massive release

Adjusted output and encoder_output dims so that all models can be used with self supervised training

* needs testing + debugging

* I have to add weight support for all regression function in the library

* needs testing + debugging

* needs testing + debugging

* I have to add weight support for all regression function in the library

* needs testing + debugging

Fix some minor type and style issues. Adjusted the ZILN Loss so it works with former versions of pytorch and rename quantile regression multilabel label as qregression

First commit towards v2. Re-organized the models module and added a few new functionalities for the models in there

Refined documentation. Added some test for saving model. Added an example notebook. Ready to test installations and publish v1 to pypi

Added test for new trainer methods. Back to documentation style more in line with some popular packages like pytorch

Added a few types, refined the docs and added tests for tabnet and the corresponding functionalities