materials-science topic
pycalphad
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
BestPractices
Things that you should (and should not) do in your Materials Informatics research.
DAMASK
Düsseldorf Advanced Material Simulation Kit (Read-only mirror)
ml4chem
ML4Chem: Machine Learning for Chemistry and Materials
ElemNet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
cgnn
Crystal Graph Neural Networks
CrabNet
Predict materials properties using only the composition information!
data-resources-for-materials-science
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
gdynet
Unsupervised learning of atomic scale dynamics from molecular dynamics.
atomai
Deep and Machine Learning for Microscopy