Alternatives and similar repositories for MiDi

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

• 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
  ☆52Updated last year
• MinkaiXu / GeoLDM
  Geometric Latent Diffusion Models for 3D Molecule Generation
  ☆256Updated 2 years ago
• GRAPH-0 / JODO
  Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
  ☆50Updated last year
• shenoynikhil / ETFlow
  Source code for Equivariant Flow Matching for Molecular Conformer Generation
  ☆40Updated last month
• Dunni3 / FlowMol
  Mixed continous/categorical flow-matching model for de novo molecule generation.
  ☆121Updated last week
• chao1224 / Geom3D
  Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
  ☆124Updated last year
• divelab / GraphBP
  Official implementation of "Generating 3D Molecules for Target Protein Binding" [ICML2022 Long Presentation]
  ☆108Updated 2 years ago
• igashov / RetroBridge
  RetroBridge: Markov Bridge Model for Retrosynthesis Planning
  ☆31Updated last year
• shehzaidi / pre-training-via-denoising
  Official implementation of pre-training via denoising for TorchMD-NET
  ☆96Updated 2 years ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• pengxingang / MolDiff
  MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
  ☆65Updated last year
• GenSI-THUAIR / MolFM
  Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
  ☆37Updated last year
• HannesStark / 3DInfomax
  Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
  ☆169Updated last year
• PattanaikL / GeoMol
  ☆161Updated last year
• learningmatter-mit / geom
  GEOM: Energy-annotated molecular conformations
  ☆230Updated 3 years ago
• facebookresearch / flowmm
  Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…
  ☆153Updated 10 months ago
• rssrwn / semla-flow
  Efficient 3D molecular generation with flow-matching and Semla
  ☆38Updated last month
• 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…
  ☆65Updated last year
• WillHua127 / mudiff
  ☆17Updated 2 years ago
• BioinfoMachineLearning / bio-diffusion
  A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization. (Nature CommsChem)
  ☆213Updated 3 months ago
• igashov / DiffLinker
  DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
  ☆350Updated last year
• yuanqidu / LeftNet
  ☆59Updated 8 months ago
• zaixizhang / Awesome-SBDD
  Papers about Structure-based Drug Design (SBDD)
  ☆120Updated 8 months ago
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆33Updated last year
• mirunacrt / synflownet
  A GFlowNet with a chemical synthesis action space.
  ☆84Updated 6 months ago
• qiangbo1222 / HierDiff
  Implementation of ICML2023 paper : Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
  ☆48Updated 2 years ago
• gcorso / torsional-diffusion
  Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
  ☆266Updated last year
• liugangcode / Graph-DiT
  The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"
  ☆82Updated 2 months ago
• mouthful / ClofNet
  ☆23Updated last year
• HannesStark / FlowSite
  Implementation of FlowSite and HarmonicFlow from the paper "Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding …
  ☆99Updated last year