Alternatives and similar repositories for crystalformer

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

• vertaix / LLM-Prop
  A repository for the LLM-Prop implementation
  ☆36Updated last year
• lamalab-org / MatText
  Text-based modeling of materials.
  ☆32Updated 5 months ago
• DeepSorption / DeepSorption1.0
  ☆12Updated last year
• sbanik2 / CASTING
  A Continuous Action Space Tree search for INverse desiGn (CASTING)
  ☆13Updated last year
• cyye001 / Con-CDVAE
  ☆28Updated 5 months ago
• htang113 / Multi-task-electronic
  This repository includes software for the paper "Multi-task learning for molecular electronic structure approaching coupled-cluster accur…
  ☆20Updated 7 months ago
• materials-data-facility / matchem-llm
  A public repository collecting links to state of the art QA and evaluation sets for various ML and LLM applications
  ☆92Updated 10 months ago
• kyonofx / scdp
  [NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"
  ☆33Updated 5 months ago
• xiaohang007 / SLICES
  SLICES: An Invertible, Invariant, and String-based Crystal Representation [2023, Nature Communications] MatterGPT, SLICES-PLUS
  ☆103Updated last month
• AC-BO-Hackathon / ac-bo-hackathon.github.io
  ☆10Updated last month
• usnistgov / chemnlp
  ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data
  ☆75Updated 8 months ago
• zcao0420 / MOFormer
  Transformer model for structure-agnostic metal-organic frameworks (MOF) property prediction
  ☆53Updated last year
• hspark1212 / DAC-SIM
  A molecular simulation package integrating MLFFs in MOFs for DAC
  ☆26Updated last month
• schwallergroup / AdsMT
  Multimodal Transformer for Predicting Global Minimum Adsorption Energy
  ☆13Updated last month
• atomicarchitects / DeNS
  [TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
  ☆33Updated 3 months ago
• AIforGreatGood / charge3net
  Higher-order equivariant neural networks for charge density prediction in materials
  ☆57Updated 2 months ago
• liyy2 / LSR-MP
  ☆17Updated 3 months ago
• nityasagarjena / PaiNN-model
  This is a simple but efficient implementation of PaiNN-model for constructing machine learning interatomic potentials
  ☆18Updated 2 years ago
• sparks-baird / matbench-genmetrics
  Generative materials benchmarking metrics, inspired by guacamol and CDVAE.
  ☆37Updated 11 months ago
• microsoft / MOFDiff
  Coarse-grained Diffusion for Metal-Organic Framework Design
  ☆42Updated 11 months ago
• ASK-Berkeley / EScAIP
  [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential
  ☆48Updated 2 months ago
• PV-Lab / FTCP
  FTCP code
  ☆34Updated last year
• imagdau / aseMolec
  ☆25Updated last year
• Matgen-project / MOFNet
  Deep learning model for predicting adsorption isotherms of MOFs
  ☆14Updated 2 years ago
• pfnet-research / dielectric-pred
  ☆10Updated 8 months ago
• lamalab-org / mofchecker
  Basic sanity checks for MOFs.
  ☆27Updated last year
• MPA2suite / autoWTE
  Benchmarking foundation Machine Learning Potentials with Lattice Thermal Conductivity from Anharmonic Phonons
  ☆16Updated 6 months ago
• lrcfmd / LEAF
  Local Environment-based Atomic Features
  ☆13Updated 4 months ago
• parkjunkil / ZeoDiff
  ☆16Updated 9 months ago
• Shen-Group / E2GNN
  ☆15Updated 6 months ago