lucidrains / se3-transformer-pytorchLinks
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
☆296Updated 2 years ago
Alternatives and similar repositories for se3-transformer-pytorch
Users that are interested in se3-transformer-pytorch are comparing it to the libraries listed below
Sorting:
- code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503☆538Updated 2 years ago
- Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network☆226Updated last year
- Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…☆273Updated 8 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
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆487Updated 8 months ago
- ☆160Updated 5 years ago
- FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation☆248Updated 8 months ago
- Implementation for SE(3) diffusion model with application to protein backbone generation☆394Updated 2 years ago
- [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs☆248Updated 6 months ago
- Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).☆381Updated 2 years ago
- ATOM3D: tasks on molecules in three dimensions☆311Updated 2 years ago
- A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms☆142Updated 3 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆75Updated 4 years ago
- The official implementation of the Molecule Attention Transformer.☆247Updated 5 years ago
- E(3) Steerable Graph Neural Network☆122Updated 2 years ago
- Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequ…☆89Updated 3 years ago
- Euclidean Neural Networks☆198Updated 4 years ago
- Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)☆266Updated last year
- An all-atom protein structure dataset for machine learning.☆355Updated last year
- Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).☆169Updated 3 years ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆134Updated 3 years ago
- MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation☆107Updated 11 months ago
- DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design☆350Updated last year
- Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch☆159Updated 2 years ago
- Energy-based models for atomic-resolution protein conformations☆99Updated 3 years ago
- ☆525Updated 3 years ago
- ☆34Updated 3 years ago
- Fast protein backbone generation with SE(3) flow matching.☆279Updated last year
- [ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations☆285Updated 6 months ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆94Updated 4 years ago