Alternatives and similar repositories for equiformer

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

• atomicarchitects / equiformer_v2
  [ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
  ☆272Updated 4 months ago
• gcorso / torsional-diffusion
  Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
  ☆265Updated last year
• MinkaiXu / GeoLDM
  Geometric Latent Diffusion Models for 3D Molecule Generation
  ☆252Updated 2 years ago
• MinkaiXu / GeoDiff
  Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
  ☆359Updated 2 years ago
• facebookresearch / flowmm
  Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…
  ☆139Updated 7 months ago
• torchmd / torchmd-net
  Training neural network potentials
  ☆413Updated last week
• igashov / DiffLinker
  DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
  ☆335Updated last year
• ehoogeboom / e3_diffusion_for_molecules
  ☆512Updated 2 years ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆118Updated 2 years ago
• lucidrains / equiformer-pytorch
  Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…
  ☆270Updated 6 months ago
• lsj2408 / Gaunt-Tensor-Product
  [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…
  ☆62Updated 7 months ago
• yuanqidu / LeftNet
  ☆56Updated 6 months ago
• learningmatter-mit / geom
  GEOM: Energy-annotated molecular conformations
  ☆227Updated 3 years ago
• cvignac / MiDi
  MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
  ☆103Updated 9 months ago
• DreamFold / FoldFlow
  FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
  ☆232Updated 6 months ago
• TUM-DAML / gemnet_pytorch
  GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
  ☆201Updated 2 years ago
• chao1224 / Geom3D
  Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
  ☆120Updated last year
• facebookresearch / all-atom-diffusion-transformer
  Official implementation of All Atom Diffusion Transformers (ICML 2025)
  ☆229Updated 3 weeks ago
• learningmatter-mit / NeuralForceField
  Neural Network Force Field based on PyTorch
  ☆274Updated 3 weeks ago
• shehzaidi / pre-training-via-denoising
  Official implementation of pre-training via denoising for TorchMD-NET
  ☆90Updated 2 years ago
• facebookresearch / JMP
  Code for “From Molecules to Materials Pre-training Large Generalizable Models for Atomic Property Prediction”.
  ☆57Updated 8 months ago
• noegroup / bgflow
  Boltzmann Generators and Normalizing Flows in PyTorch
  ☆166Updated last year
• DeepGraphLearning / ConfGF
  Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
  ☆167Updated 3 years ago
• vgsatorras / egnn
  ☆488Updated 3 years ago
• AlexDuvalinho / geometric-gnns
  List of Geometric GNNs for 3D atomic systems
  ☆110Updated last year
• Dunni3 / FlowMol
  Mixed continous/categorical flow-matching model for de novo molecule generation.
  ☆108Updated this week
• lsj2408 / Transformer-M
  [ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
  ☆212Updated 2 years ago
• atomistic-machine-learning / G-SchNet
  G-SchNet - a generative model for 3d molecular structures
  ☆136Updated 2 years ago
• YKQ98 / Matformer
  Official code for Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS 2022)
  ☆97Updated last year
• jasonkyuyim / se3_diffusion
  Implementation for SE(3) diffusion model with application to protein backbone generation
  ☆385Updated last year