Alternatives and similar repositories for CrabNet

Users that are interested in CrabNet are comparing it to the libraries listed below

• by256 / icsg3d
  3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)
  ☆41Updated 2 years ago
• CompRhys / roost
  Representation Learning from Stoichiometry
  ☆58Updated 2 years ago
• RishikeshMagar / OGCNN
  Crystal graph convolutional neural networks for predicting material properties.
  ☆35Updated 2 years ago
• kaist-amsg / Composition-Conditioned-Crystal-GAN
  Composition-Conditioned Crystal GAN pytorch code
  ☆43Updated 3 years ago
• Fung-Lab / MatDeepLearn
  MatDeepLearn, package for graph neural networks in materials chemistry
  ☆198Updated 2 years ago
• materialsproject / matbench
  Matbench: Benchmarks for materials science property prediction
  ☆170Updated last year
• PV-Lab / FTCP
  FTCP code
  ☆35Updated 2 years ago
• MaterSim / PyXtal_FF
  Machine Learning Interatomic Potential Predictions
  ☆94Updated last year
• Andrew-S-Rosen / QMOF
  The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.
  ☆154Updated 4 months ago
• hackingmaterials / robocrystallographer
  Automatic generation of crystal structure descriptions.
  ☆125Updated last week
• txie-93 / gdynet
  Unsupervised learning of atomic scale dynamics from molecular dynamics.
  ☆81Updated 3 years ago
• Teoroo-CMC / PiNN
  A Python library for building atomic neural networks
  ☆120Updated 3 weeks ago
• sbanik2 / CEGANN
  Crystal Edge Graph Attention Neural Network
  ☆23Updated last year
• NU-CUCIS / ElemNet
  Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
  ☆97Updated 2 years ago
• sp8rks / MaterialsInformatics
  MSE5540/6640 Materials Informatics course at the University of Utah. Learn how data science tools are revolutionizing materials science!
  ☆177Updated 2 months ago
• michaeldalverson / CrysTens
  ☆26Updated last year
• usnistgov / jarvis_leaderboard
  A large scale benchmark of materials design methods: https://www.nature.com/articles/s41524-024-01259-w
  ☆71Updated 2 months ago
• ppdebreuck / modnet
  MODNet: a framework for machine learning materials properties
  ☆100Updated 5 months ago
• Sangwon91 / PORMAKE
  Python library for the construction of porous materials using topology and building blocks.
  ☆78Updated 5 months ago
• JARVIS-Materials-Design / jarvis-tools-notebooks
  This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/ja…
  ☆92Updated 3 months ago
• Tomoki-YAMASHITA / CrySPY
  CrySPY is a crystal structure prediction tool written in Python.
  ☆140Updated 3 weeks ago
• lrcfmd / ipcsp
  Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings
  ☆49Updated 2 years ago
• MilesZhao / PGCGM
  Source code for generating materials with 20 space groups using PGCGM
  ☆33Updated 2 years ago
• Open-Catalyst-Project / Open-Catalyst-Dataset
  Workflow for creating and analyzing the Open Catalyst Dataset
  ☆114Updated 8 months ago
• Tinystormjojo / geo-CGNN
  ☆33Updated last year
• usccolumbia / AlphaCrystal
  AlphaCrytal: Contact map based deep learning algorithm for crystal structure prediction
  ☆10Updated 2 years ago
• hackingmaterials / automatminer
  An automatic engine for predicting materials properties.
  ☆165Updated last year
• asmanouira / CrystalGAN
  Learning to Discover Crystallographic Structures with Generative Adversarial Networks
  ☆38Updated 5 years ago
• uw-cmg / perovskite-oxide-stability-prediction
  code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite comp…
  ☆29Updated 7 years ago
• OUnke / SpookyNet
  Reference implementation of "SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects"
  ☆79Updated 3 years ago