FabianFuchsML / se3-transformer-publicLinks
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
☆559Updated 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…☆320Updated 4 months ago
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆514Updated last year
- Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…☆286Updated last year
- ☆517Updated 3 years ago
- Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).☆393Updated 2 years ago
- A modular framework for neural networks with Euclidean symmetry☆1,195Updated 2 weeks ago
- ☆162Updated 5 years ago
- Implementation for SE(3) diffusion model with application to protein backbone generation☆413Updated 2 years ago
- ☆543Updated 3 years ago
- Euclidean Neural Networks☆203Updated 5 years ago
- [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs☆267Updated 10 months ago
- ATOM3D: tasks on molecules in three dimensions☆317Updated 2 years ago
- FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation☆272Updated last year
- Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network☆226Updated last year
- An all-atom protein structure dataset for machine learning.☆356Updated last year
- [ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations☆314Updated 10 months ago
- Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorc…☆171Updated 3 years ago
- Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)☆275Updated last year
- Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure☆314Updated last month
- DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design☆367Updated last year
- DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Awa…☆346Updated 2 years ago
- Fast protein backbone generation with SE(3) flow matching.☆303Updated last year
- Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)☆542Updated 3 years ago
- Neural networks for cryo-EM reconstruction☆365Updated last week
- EquiDock: geometric deep learning for fast rigid 3D protein-protein docking☆254Updated 2 years ago
- E(3) Steerable Graph Neural Network☆124Updated 2 years ago
- EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein☆530Updated 10 months ago
- Training neural network potentials☆455Updated last week
- A Euclidean diffusion model for structure-based drug design.☆481Updated 6 months ago
- Diffusion models of protein structure; trigonometry and attention are all you need!☆560Updated 2 years ago