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
• PV-Lab / FTCP
  FTCP code
  ☆33Updated last year
• kaist-amsg / Composition-Conditioned-Crystal-GAN
  Composition-Conditioned Crystal GAN pytorch code
  ☆43Updated 3 years ago
• MaterSim / PyXtal_FF
  Machine Learning Interatomic Potential Predictions
  ☆89Updated last year
• Tomoki-YAMASHITA / CrySPY
  CrySPY is a crystal structure prediction tool written in Python.
  ☆127Updated 10 months ago
• Andrew-S-Rosen / QMOF
  The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.
  ☆139Updated last month
• materialsproject / matbench
  Matbench: Benchmarks for materials science property prediction
  ☆148Updated 7 months ago
• bytedance / bamboo
  BAMBOO (Bytedance AI Molecular BOOster) is an AI-driven machine learning force field designed for precise and efficient electrolyte simu…
  ☆54Updated 2 months ago
• Tinystormjojo / geo-CGNN
  ☆33Updated 8 months ago
• lrcfmd / ipcsp
  Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings
  ☆48Updated last year
• usccolumbia / mtransformer
  Materials Transformers
  ☆25Updated 2 years ago
• JARVIS-Materials-Design / jarvis-tools-notebooks
  A Google-Colab Notebook Collection for Materials Design: https://jarvis.nist.gov/
  ☆77Updated 2 months ago
• usnistgov / jarvis_leaderboard
  A large scale benchmark of materials design methods: https://www.nature.com/articles/s41524-024-01259-w
  ☆65Updated 3 weeks ago
• RishikeshMagar / OGCNN
  Crystal graph convolutional neural networks for predicting material properties.
  ☆32Updated 2 years ago
• usccolumbia / deeperGATGNN
  Scalable graph neural networks for materials property prediction
  ☆56Updated last year
• sbanik2 / CEGANN
  Crystal Edge Graph Attention Neural Network
  ☆19Updated 9 months ago
• hackingmaterials / robocrystallographer
  Automatic generation of crystal structure descriptions.
  ☆113Updated 3 months ago
• snurr-group / mofid
  A system for rapid identification and analysis of metal-organic frameworks
  ☆52Updated 3 months ago
• NU-CUCIS / ElemNet
  Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
  ☆95Updated 2 years ago
• Sangwon91 / PORMAKE
  Python library for the construction of porous materials using topology and building blocks.
  ☆64Updated 3 months ago
• ACEsuit / mace-foundations
  MACE-MP models
  ☆86Updated this week
• hyllios / CGAT
  Crystal graph attention neural networks for materials prediction
  ☆27Updated last year
• sp8rks / MaterialsInformatics
  MSE5540/6640 Materials Informatics course at the University of Utah. Learn how data science tools are revolutionizing materials science!
  ☆139Updated 2 weeks ago
• Diego-2504 / CGCNN_tutorial
  Crystal Graph Convolutional Neural Networks tutorial
  ☆23Updated 2 years ago
• BingqingCheng / ASAP
  ASAP is a package that can quickly analyze and visualize datasets of crystal or molecular structures.
  ☆145Updated 9 months ago
• asmanouira / CrystalGAN
  Learning to Discover Crystallographic Structures with Generative Adversarial Networks
  ☆38Updated 5 years ago
• Open-Catalyst-Project / Open-Catalyst-Dataset
  Workflow for creating and analyzing the Open Catalyst Dataset
  ☆106Updated last month
• ulissigroup / GASpy
  ☆67Updated 4 years ago
• WMD-group / SMACT
  Python package to aid materials design and informatics
  ☆106Updated this week