Amp: Atomistic Machine-learning Package

Amp is an open-source package designed to easily bring machine-learning to atomistic calculations. This project is being developed at Brown University in the School of Engineering, primarily by Andrew Peterson and Alireza Khorshidi, and is released under the GNU General Public License. This is a relatively new project, so things are constantly changing! (Note that Amp is built off of our previous project, Neural. You may still find Neural at our bitbucket page.) Table of Contents: List of All Methods:

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