WIP, ENH, BLD: fix gh-pages deployment. Add more examples (#50)

* WIP, ENH, BLD: fix gh-pages deployment. Add more examples

* CLN: remove manager. Update requirements

* CLN: remove experiments folder

* DOC, CLN: remove Manager. Update docs

BLD, TST: fix mixed_precision failing tests (#52)

BUG: fix accelerator initialization

ENH: regularization as callbacks (#42)

* WIP: add callbacks scheme before and after loss step

* DOC: add TODO

* ENH: add 'predict' method to Trainer

* BUG: fix minor error in predict

* ENH, CLN: use black. Improve predict method. Fix bugs in preprocessing.

* CLN, BUG: fix bug in LR sch callback. Fix flake8 complains.

* CLN: use isort

* CLN: minor code cleaning

* BUG: fix bug on synchronization through cuda

* DOC: update doc string for 'tabular_to_sliding_dataset'

* ENH: allow multiple inputs for the model

* ENH: add back '__predict_loader'. Remove some prediction callbacks

* BLD: update NumPy requirements

* CLN: remove Pandas

* ENH: add missin __repr__. Add method to return history dict in trainer. Minor changes

* ENH: add torhc distribution example

* ENH, CLN: add loss update after loss step

* ENH: store only the number of each batch loss

* CLN: use isort

* ENH: regularization as callbacks. Remove regularization module

* BLD: update requirements to avoid conflicts

* TST: update utils tests

* CLN: update CHANGELOG

Co-authored-by: Alejandro Pérez Sanjuán <aperez@ETS.ES>

ENH: regularization as callbacks (#42)

* WIP: add callbacks scheme before and after loss step

* DOC: add TODO

* ENH: add 'predict' method to Trainer

* BUG: fix minor error in predict

* ENH, CLN: use black. Improve predict method. Fix bugs in preprocessing.

* CLN, BUG: fix bug in LR sch callback. Fix flake8 complains.

* CLN: use isort

* CLN: minor code cleaning

* BUG: fix bug on synchronization through cuda

* DOC: update doc string for 'tabular_to_sliding_dataset'

* ENH: allow multiple inputs for the model

* ENH: add back '__predict_loader'. Remove some prediction callbacks

* BLD: update NumPy requirements

* CLN: remove Pandas

* ENH: add missin __repr__. Add method to return history dict in trainer. Minor changes

* ENH: add torhc distribution example

* ENH, CLN: add loss update after loss step

* ENH: store only the number of each batch loss

* CLN: use isort

* ENH: regularization as callbacks. Remove regularization module

* BLD: update requirements to avoid conflicts

* TST: update utils tests

* CLN: update CHANGELOG

Co-authored-by: Alejandro Pérez Sanjuán <aperez@ETS.ES>

BLD: fix PyPi deployment file

WIP, BLD: add PyPi deployment to CI/CD (#35)

WIP: bug fixes. Format code with Black (#33). Add StochasticWeightAve…

…raging

* WIP: bug fixes. Format code with Black

* ENH: add SWA callback. Refactor utils.py module

* BUG, DOC: minor fixes. Update Docstrings

* ENH, TST: complete 'train_test_val_split'. Update setup

* DOC: update README. Update CHANGELOG

* BUG: fix SWA callback bug

* ENH, BUG: fix log level bug. Add possibility to change logger name from child callback

* CLN: update CHANGELOG. Fix docs

WIP, ENH: integrate accelerate. Update callback system (#30)

* WIP, ENH: delegate device handling in accelerate

* BLD, ENH: update requirements. Add gradient clipping

* Add first version of gradient accumulation

* ENH: use perf_counter. Refactor loss computation

* Update setup. Add more hooks and methods to the callback system

* BUG, ENH: fix minor bug on trainer. Update README. Add conventions

* TST: update trainer tests

* ENH: update MetricsHandler and InternalState to handle batch and epoch metrics

* TST, DOC: update trainer docstring. Update trainer and callbacks tests

* ENH: redesign history handling. Update tests

* ENH: add Rich progress bar callback

* ENH: redesign metrics handling

* TST: fix minor bug in LearningRateScheduler

* BLD, DOC: update requirements. Update docs

BLD: fix new lower bound for package