Check it out at https://gitlab.com/brohrer/cottonwood. Install from there. Update from there.
To make the switch on your local machine command line run
git remote set-url origin https://gitlab.com/brohrer/cottonwood.git
or
git remote set-url origin [email protected]:brohrer/cottonwood.git
depending on which protocol you're using.
This repo is being deprecated and will no longer be updated. BTW GitLab is pretty intuitive if you're already familiar with GitHub. Check it out.
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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.
If you want to follow along with the construction process for Cottonwood, you can get a step-by-step walkthrough in the e2eML sequence Course 312, Course 313, and Course 314.
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
python3
>>> 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 v14
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.