lucidrains / invariant-point-attention
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
☆162Updated 2 years ago
Alternatives and similar repositories for invariant-point-attention:
Users that are interested in invariant-point-attention are comparing it to the libraries listed below
- Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network☆220Updated 11 months ago
- Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration wit…☆285Updated 2 years ago
- Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…☆268Updated 4 months ago
- Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequ…☆89Updated 2 years ago
- Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design☆81Updated 3 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆73Updated 3 years ago
- Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch☆158Updated 2 years ago
- Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax☆112Updated 3 years ago
- A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms☆139Updated 3 years ago
- A list of manuscripts/tools using diffusion on biological enttieis☆96Updated last year
- FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation☆223Updated 4 months ago
- Energy-based models for atomic-resolution protein conformations☆97Updated 3 years ago
- An all-atom protein structure dataset for machine learning.☆350Updated last year
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆58Updated 4 years ago
- Official code repository for EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation☆121Updated 2 years ago
- PyTorch library of layers acting on protein representations☆118Updated 10 months ago
- Official Pytorch implementation of PLUS (Protein sequence representations Learned Using Structural information), IEEE Access 2021☆41Updated last year
- ATOM3D: tasks on molecules in three dimensions☆307Updated 2 years ago
- RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Ma…☆96Updated 2 years ago
- ☆157Updated last year
- Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure☆144Updated 4 years ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆131Updated 3 years ago
- De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds☆177Updated last year
- Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10.1101/2021.08.02.454840v1☆37Updated 2 years ago
- pytorch implementation of trDesign☆45Updated 4 years ago
- EigenFold: Generative Protein Structure Prediction with Diffusion Models☆172Updated 2 years ago
- Proteina is a new large-scale flow-based protein backbone generator that utilizes hierarchical fold class labels for conditioning and rel…☆156Updated 2 months ago
- Implementation of ProteinBERT in Pytorch☆157Updated 3 years ago
- Protein Design with Guided Discrete Diffusion☆129Updated last year
- Fast protein backbone generation with SE(3) flow matching.☆260Updated 9 months ago