Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models"
MIT License
A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein d...
Python implementation of 3D Zernike moments with PyTorch
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details...
Implementation of Invariant Point Attention, used for coordinate refinement in the structure modu...
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Implementation of ProteinBERT in Pytorch
Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10...
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Open source code for AlphaFold.
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein...
Gibbs sampling for generating protein sequences
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
Implementation of the algorithm detailed in paper "Evolutionary design of molecules based on deep...
Implementation of Alphafold 3 in Pytorch