FabianFuchsML / se3-transformer-publicLinks
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
☆530Updated 2 years ago
Alternatives and similar repositories for se3-transformer-public
Users that are interested in se3-transformer-public are comparing it to the libraries listed below
Sorting:
- Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration wit…☆291Updated 2 years ago
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆480Updated 7 months ago
- ☆158Updated 5 years ago
- ☆489Updated 3 years ago
- Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…☆273Updated 6 months ago
- A modular framework for neural networks with Euclidean symmetry☆1,109Updated 2 months ago
- Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).☆373Updated 2 years ago
- Euclidean Neural Networks☆197Updated 4 years ago
- Implementation for SE(3) diffusion model with application to protein backbone generation☆389Updated 2 years ago
- ☆516Updated 3 years ago
- [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs☆241Updated 5 months ago
- ATOM3D: tasks on molecules in three dimensions☆311Updated 2 years ago
- Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network☆225Updated last year
- FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation☆238Updated 7 months ago
- An all-atom protein structure dataset for machine learning.☆353Updated last year
- Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)☆264Updated last year
- DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design☆342Updated last year
- [ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations☆275Updated 5 months ago
- Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorc…☆163Updated 2 years ago
- DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Awa…☆326Updated last year
- Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure☆286Updated 2 years ago
- Training neural network potentials☆419Updated last month
- E(3) Steerable Graph Neural Network☆119Updated 2 years ago
- A Euclidean diffusion model for structure-based drug design.☆430Updated 2 weeks ago
- Neural networks for cryo-EM reconstruction☆341Updated this week
- The official implementation of the Molecule Attention Transformer.☆247Updated 5 years ago
- EquiDock: geometric deep learning for fast rigid 3D protein-protein docking☆244Updated last year
- EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein☆511Updated 4 months ago
- Fast protein backbone generation with SE(3) flow matching.☆270Updated 11 months ago
- Geometric Latent Diffusion Models for 3D Molecule Generation☆252Updated 2 years ago