1. MegnetGraph Networks as a Universal Machine Learning Framework for Molecules and Crystals
2. MatgenbJupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
3. PyhullPyhull is a Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram.
4. Nano266Repository for UCSD NANO 266 Quantum Mechanical Modelling of Materials
6. garnetdnnThis repo implements a web application utilizing a deep neural network to predict the formation energies and stability of garnet crystals.
7. snapRepository for spectral neighbor analysis potential (SNAP) model development.
8. montyThis repository implements supplementary useful functions for Python that are not part of the standard library. Examples include useful utilities like transparent support for zipped files etc.
9. mamlPython for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
10. mlearnBenchmark Suite for Machine Learning Interatomic Potentials for Materials