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)
  ☆43Updated 2 years ago
• RishikeshMagar / OGCNN
  Crystal graph convolutional neural networks for predicting material properties.
  ☆33Updated 3 years ago
• CompRhys / roost
  Representation Learning from Stoichiometry
  ☆60Updated 3 years ago
• kaist-amsg / Composition-Conditioned-Crystal-GAN
  Composition-Conditioned Crystal GAN pytorch code
  ☆43Updated 3 years ago
• PV-Lab / FTCP
  FTCP code
  ☆36Updated 2 years ago
• Tinystormjojo / geo-CGNN
  ☆34Updated last year
• Fung-Lab / MatDeepLearn
  MatDeepLearn, package for graph neural networks in materials chemistry
  ☆198Updated 2 years ago
• sbanik2 / CEGANN
  Crystal Edge Graph Attention Neural Network
  ☆23Updated last year
• usnistgov / jarvis_leaderboard
  A large scale benchmark of materials design methods: https://www.nature.com/articles/s41524-024-01259-w
  ☆72Updated 3 months ago
• NU-CUCIS / ElemNet
  Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
  ☆100Updated 2 weeks ago
• hackingmaterials / robocrystallographer
  Automatic generation of crystal structure descriptions.
  ☆129Updated this week
• txie-93 / gdynet
  Unsupervised learning of atomic scale dynamics from molecular dynamics.
  ☆85Updated 4 years ago
• MaterSim / PyXtal_FF
  Machine Learning Interatomic Potential Predictions
  ☆94Updated last year
• materialsproject / matbench
  Matbench: Benchmarks for materials science property prediction
  ☆186Updated last year
• 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  This repository is no longer maintained.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…
  ☆93Updated 6 months ago
• peterbjorgensen / DeepDFT
  Official implementation of DeepDFT model
  ☆87Updated 2 years ago
• ppdebreuck / modnet
  MODNet: a framework for machine learning materials properties
  ☆103Updated 8 months ago
• asmanouira / CrystalGAN
  Learning to Discover Crystallographic Structures with Generative Adversarial Networks
  ☆39Updated 6 years ago
• michaeldalverson / CrysTens
  ☆26Updated last year
• Sangwon91 / PORMAKE
  Python library for the construction of porous materials using topology and building blocks.
  ☆82Updated 8 months ago
• OUnke / SpookyNet
  Reference implementation of "SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects"
  ☆83Updated 3 years ago
• MilesZhao / PGCGM
  Source code for generating materials with 20 space groups using PGCGM
  ☆34Updated 3 years ago
• lrcfmd / ipcsp
  Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings
  ☆48Updated 2 years ago
• Andrew-S-Rosen / QMOF
  The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.
  ☆158Updated 2 months ago
• good4488 / ZeoGAN
  Zeolite GAN
  ☆25Updated 5 years ago
• hspark1212 / MOFTransformer
  Universal Transfer Learning in Porous Materials, including MOFs.
  ☆114Updated last year
• kaist-amsg / Synthesizability-PU-CGCNN
  ☆35Updated 3 years ago
• hspark1212 / chemeleon
  A text-guided diffusion model for crystal structure generation
  ☆74Updated 8 months ago
• Open-Catalyst-Project / Open-Catalyst-Dataset
  Workflow for creating and analyzing the Open Catalyst Dataset
  ☆123Updated 11 months ago
• atomisticnet / tools-and-data
  A collection of tools and databases for atomistic machine learning
  ☆48Updated 4 years ago