There are 48 repositories under materials-science topic.
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
A deep learning package for many-body potential energy representation and molecular dynamics
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Data mining for materials science
Density-functional toolkit
Curated list of known efforts in materials informatics = modern materials science
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data
Scientific analysis of nanoscale materials imaging data
A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.
Graph deep learning library for materials
Atomsk: A Tool For Manipulating And Converting Atomic Data Files -
Deep and Machine Learning for Microscopy
[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Things that you should (and should not) do in your Materials Informatics research.
Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
atomate2 is a library of computational materials science workflows
Interactive browser visualizations for materials science: periodic tables, 3d crystal structures, Bohr atoms, nuclei, heatmaps, scatter plots.
Electronic transport properties from first-principles calculations
An interactive structure/property explorer for materials and molecules
Materials Knowledge System in Python