Deep-pipe

- Renamed `dpipe.medim` to `dpipe.im`. Moved all medical-related code to separate repositories. `dpipe.medim` will still be importable until the next release
- Support for adaptive batch size in batch iterators. To ensure reproducibility, `sources` now have a `random_state` argument
- Experiment layouts - a new, simpler way to build and run experiments
- Various fixes

- Got rid of Snakemake.
- Added functions with bindings to the configs grammar.
- Added `dicom_utils`.
- Removed a lot of deprecated stuff and reorganized some modules' structure.

- Removed `tensorflow`
- Added more sugar in the configs' grammar
- Refactored some preprocessing code
- Moving towards modular models and batch-predict

- Major refactoring of datasets
- Improved configs grammar
- Snakemake files are modular now
- Added `setup.py`. Now dpipe can be installed via pip

* Simplified the batch iterators
* Updated external resources support
* Improved configs grammar

highly cutomized the training process. updated the docs.
made the resource manager even more pythonic.
added support for external resources.
moved documentation htmls to another repo.