GitLab

expands coverage on test_to_tensor to 1 and 4 image channels

fixing densenet161 reference

Sphinx docs

* added Whiten transform and relative section in README

* added Whiten transform and its section in README

* fixed lint

* fixed lint again

* added linear transformation and whitening test unitary covariance

* fixed lint and test

* commit before rebasing

* before rebase

* added assertion to check matrix size

* fix readme

* added space around operator

* replace assert with raise ValueError, fix spaces and readme

PIL.Image is renamed to 'PIL Image' because PIL.Image is the module and PIL.Image.Image is the class we are referring but is too long to put in docstrings

Pattern from: https://packaging.python.org/guides/single-sourcing-package-version/

* increase num_samples, reduce alpha and fix seed for hflip and vflip tests

* flake8 fixes

* Add adjust_hue and adjust_saturation

* Add adjust_brightness, adjust_contrast

Also
* Change adjust_saturation to use pillow implementation
* Documentation made clear

* Add adjust_gamma

* Add ColorJitter

* Address review comments

* Fix documentation for ColorJitter

* Address review comments 2

* Fallback to adjust_hue in case of BW images

* Add tests

* fix dtype

rename scaled_crop -> resized_crop + rename RandomSizedCrop -> RandomResizedCrop

fix a typo in normalize: an tensor -> a tensor

TenCrop and FiveCrop refactored

add FiveCrop and TenCrop

VerticalFlip converted to follow refactor #240

add RandomVerticalFlip transform

Refactor of transforms 

update SVHN docs to note label change for digit 0

Update svhn.py to be consistent with other datasets

add all models to torchvision.models docstring

update documentation for models in README.rst

* added Inception v3 to index;
* document pretrained models;
* fix typo.

* add Inception and Densenet;
* document that pretrained VGG is available;
* fix a typo.