Leanai

Updated version number in setup.
Changelog see Release 2.3.0.

* Datasets
* Added sample_tokens to kitti and nuscenes implementations
* Added 2d boxes to nuScenes (generated from 3D boxes)
* Bugfix: NuImages can now load images and 2d boxes (semseg still untested)
* Model
* Names in sequential layers can be named using kwargs
* Added a parallel layer
* Bugfix: Some convolution parameters were unsupported
* Core
* Filelog level can be specified

* Datasets
* Renamed `transformers` to `transforms` in the datapipeline to avoid confusion with `Transformers` a component of neural networks originally used in NLP.
* Refactoring/renaming of datasets
* Added NuScenes and KITTI Dataset implementations.
* Added a MultiDataset to allow merging datasets.
* Core
* Improved Logging
* Added a capture method for tensors, so that getting tensors from within a model is possible.
* Removed Module and Loss Registry, as the DictLike fills that already and is much easier (to maintain).
* Bugfixes

Changes:
* Losses no longer need parent argument in init. (Automatically taken care of via global variable, as only a logger was required from that.)
* Experiment requires DictLike, to reduce complexity.

Changes:
* Significant rework of the experiment API.
* Inheriting only required for very complex cases.
* Most cases can just call the `__init__` and `run_training`/`run_inference`.
* No more CLI tools, they were pretty useless anyways.
* You can just create your own main
* Or use a jupyter notebook

* Added mode to experiment initializer to allow for different initializations in inference or testing.
* Minor bugfixes.