The Cottonwood Machine Learning Framework
Cottonwood is built to be as flexible as possible, top to bottom. It's designed to minimize the iteration time when running experiments and testing ideas. It's meant to be tweaked. Fork it. Add to it. Customize it to solve the problem at hand. For more of the thought behind it, read the post " Why another framework? and Why did you name it that?
This code is always evolving. I recommend referencing a specific tag whenever you use it in a project. Tags are labeled v1, v2, etc. and the code attached to each one won't change.
Whether you want to pull Cottonwood into another project, or experiment with ideas of your own, you'll want to clone the repository to your local machine and install it from there.
git clone https://github.com/brohrer/cottonwood.git python3 -m pip install -e cottonwood
Try it out
>>> import cottonwood.demo
Here is the cheatsheet for pulling the relevant components into your work.
Cottonwood versions are not guaranteed backward compatible. You can select a particular version to work from.
cd cottonwood git checkout v9
Check out the Revision History to see what features and bugfixes come with each release.
See what Cottonwood looks like in action. Feel free to use any of these as a template for a project of your own. They're MIT licensed.