Alternatives and similar repositories for Frame-Averaging

Users that are interested in Frame-Averaging are comparing it to the libraries listed below

• cvignac / MiDi
  MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
  ☆103Updated 9 months ago
• Shen-Lab / LDM-3DG
  [ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
  ☆51Updated last year
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆119Updated 2 years ago
• qazwsxal / diffusion-extensions
  Reference implmentation of Diffusion models on SO(3)
  ☆31Updated 3 years ago
• mouthful / ClofNet
  ☆23Updated last year
• DeepGraphLearning / ConfGF
  Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
  ☆169Updated 3 years ago
• vgsatorras / en_flows
  ☆60Updated 3 years ago
• vict0rsch / faenet
  ☆34Updated 5 months ago
• kyonofx / mlcgmd
  [TMLR 2023] Simulate time-integrated coarse-grained MD with multi-scale graph neural networks
  ☆71Updated last year
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆17Updated 5 months ago
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆100Updated last year
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆61Updated last year
• jrwnter / pigvae
  Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…
  ☆42Updated 2 years ago
• AlgoMole / MolFM
  Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
  ☆36Updated last year
• MinkaiXu / CGCF-ConfGen
  Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)
  ☆46Updated 3 years ago
• Bayer-Group / eqgat
  Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)
  ☆20Updated 2 years ago
• divelab / GraphBP
  Official implementation of "Generating 3D Molecules for Target Protein Binding" [ICML2022 Long Presentation]
  ☆108Updated last year
• shehzaidi / pre-training-via-denoising
  Official implementation of pre-training via denoising for TorchMD-NET
  ☆92Updated 2 years ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• lucidrains / ddpm-ipa-protein-generation
  Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequ…
  ☆89Updated 2 years ago
• shenoynikhil / ETFlow
  Source code for Equivariant Flow Matching for Molecular Conformer Generation
  ☆36Updated last month
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆131Updated 3 years ago
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆62Updated last year
• guanjq / confopt_official
  The official implementation of Energy-Inspired Molecular Conformation Optimization (ICLR 2022)
  ☆36Updated 2 years ago
• phermosilla / IEConv_proteins
  Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
  ☆48Updated 3 years ago
• gncs / graphdg
  Generative model for molecular distance geometry
  ☆39Updated 2 years ago
• GRAPH-0 / JODO
  Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
  ☆49Updated last year
• MinkaiXu / GeoLDM
  Geometric Latent Diffusion Models for 3D Molecule Generation
  ☆252Updated 2 years ago
• tensorfieldnetworks / tensorfieldnetworks
  ☆158Updated 5 years ago
• joeybose / GGM_LOG_Tutorial
  Geometric Generative Model Tutorial at LoG 2024
  ☆27Updated 7 months ago