lucidrains / invariant-point-attentionLinks
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
Sorting:
- Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network☆225Updated last year
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆74Updated 4 years ago
- Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration wit…☆294Updated 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
- Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…☆274Updated 7 months ago
- Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design☆82Updated 3 years ago
- Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch☆159Updated 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…☆98Updated 2 years ago
- Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10.1101/2021.08.02.454840v1☆37Updated 3 years ago
- Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax☆113Updated 3 years ago
- A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms☆141Updated 3 years ago
- Energy-based models for atomic-resolution protein conformations☆99Updated 3 years ago
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆59Updated 4 years ago
- FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation☆245Updated 7 months ago
- Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some addition…☆57Updated 2 years ago
- A list of manuscripts/tools using diffusion on biological enttieis☆97Updated last year
- pytorch implementation of trDesign☆45Updated 4 years ago
- Official code repository for EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation☆121Updated 2 years ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆74Updated 2 years ago
- PyTorch library of layers acting on protein representations☆119Updated last year
- Implementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, …☆52Updated last year
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆133Updated 3 years ago
- An all-atom protein structure dataset for machine learning.☆355Updated last year
- ☆118Updated last year
- ☆33Updated 3 months ago
- ATOM3D: tasks on molecules in three dimensions☆311Updated 2 years ago
- Official Pytorch implementation of PLUS (Protein sequence representations Learned Using Structural information), IEEE Access 2021☆41Updated last year
- This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…☆62Updated last year
- EigenFold: Generative Protein Structure Prediction with Diffusion Models☆175Updated 2 years ago
- Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure☆148Updated 4 years ago