AMBER is developed under Python 3.7 and Tensorflow 1.15.

Please follow the steps below to install AMBER. There are two ways to install AMBER: 1) cloning the latest development from the GitHub repository and install with Anaconda; and 2) using pypi to install a versioned release.

Get the latest source code

First, clone the Github Repository; if you have previous versions, make sure you pull the latest commits/changes:

git clone
git pull

If you see Already up to date in your terminal, that means the code is at the latest change.

Installing with Anaconda

The easiest way to install AMBER is by Anaconda. It is recommended to create a new conda environment for AMBER:

conda create --file ./templates/conda_amber.linux_env.yml
python develop

Installing with Pip

As of version 0.1.0, AMBER is on pypi. In the command-line terminal, type the following commands to get it installed:

pip install amber-automl

This will also install the required dependencies automatically. The pip install is still in its beta phase, so if you encouter any issues, please send me a bug report, and try installing with Anaconda as above.

Testing your installation

You can test if AMBER can be imported to your new conda environment like so:

conda activate amber
python -c "import amber"

If no errors pop up, that means you have successfully installed AMBER.


Run unittest once its in place.