Multi-scale-expansion

Now, users are able to create a new image classification model by the call of a simple method and setting up a directory with training and testing images in a simple file structure. This simple method call returns a trained model with the parameters specified by the user and also returns information about the fine-tuning itself. This automatically generates an easy-to-use fine-tuned model for quick testing purposes.

What's Changed
* Adding pypi badge to my README.md by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/16
* HW 7 Part 1 - Added comments in autodoc-compatible format by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/17
* Set up static docs website including install, use and autodocs details by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/18
* Added docs and pages commands to makefile by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/19
* Added docs badge link by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/20
* Simplified quick-start example in library by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/21
* Cleaned code removing viz method, added functionality to simplify mod… by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/22


**Full Changelog**: https://github.com/ColumbiaMancera/multi-scale-expansion/compare/v0.1.0...v0.1.2

In its current state the library is able to set up automatically a working image classification model for our users. Specially, it handles the Dataset creation side of things as well as generating the dataloaders, models, and all different aspects that go into training an image classification model.

What's Changed
* Created CONTRIBUTING.MD by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/1
* Added "Issues" badge to project README.md by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/7
* Initial stages of project including 5 testable functions by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/9
* HW4 testing - Changes to code and added test files as well by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/11
* Reformatted the files running lint, as well as fixed minor file set up issues by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/12
* Added CI capabilities, badge info to README and dependabot by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/13
* Hw6 part1 - Updated README and CONTRIBUTING files by ColumbiaMancera in https://github.com/ColumbiaMancera/multi-scale-expansion/pull/14


**Full Changelog**: https://github.com/ColumbiaMancera/multi-scale-expansion/commits/v0.1.1

In its current state the library is able to set up automatically a working image classification model for our users. Specially, it handles the Dataset creation side of things as well as generating the dataloaders, models, and all different aspects that go into training an image classification model.