Alternatives and similar repositories for protein_gan

Users that are interested in protein_gan are comparing it to the libraries listed below

• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆81Updated 2 years ago
• alex-hh / deep-protein-generation
  ☆59Updated 2 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆92Updated 2 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• BioinfoMachineLearning / DeepInteract
  A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)
  ☆64Updated 3 years ago
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆115Updated last year
• ostrokach / proteinsolver
  Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.
  ☆59Updated 4 years ago
• KrishnaswamyLab / ReLSO-Guided-Generative-Protein-Design-using-Regularized-Transformers
  a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)
  ☆89Updated 2 years ago
• Shen-Lab / gcWGAN
  Guided Conditional Wasserstein GAN for De Novo Protein Design
  ☆37Updated 4 years ago
• IBM / fold2seq
  Code for Fold2Seq paper from ICML 2021
  ☆50Updated 3 years ago
• churchlab / low-N-protein-engineering
  Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".
  ☆59Updated 4 years ago
• Doudna-lab / GARNET_DL
  ☆36Updated 10 months ago
• av1659 / fbgan
  ☆57Updated 6 years ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆43Updated 4 years ago
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆36Updated 4 years ago
• drorlab / DIPS
  Database of Interacting Protein Structures (DIPS)
  ☆102Updated last year
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆74Updated 4 years ago
• lucidrains / tr-rosetta-pytorch
  Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
  ☆83Updated 4 years ago
• aqlaboratory / rgn2
  ☆109Updated last year
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆25Updated last year
• sokrypton / seqmodels
  ☆32Updated 2 months ago
• spetti / SMURF
  ☆134Updated 3 years ago
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆120Updated 4 years ago
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆57Updated last year
• HannesStark / protein-localization
  Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…
  ☆74Updated 2 years ago
• csi-greifflab / Absolut
  Unconstrained lattice antibody-antigen bindings generator
  ☆111Updated this week
• zswitten / Antimicrobial-Peptides
  Collecting AMP MIC data from different sources, then running a GAN to output promising sequences
  ☆85Updated last year
• tadorfer / nlprot
  NLP for Proteins - A paper collection
  ☆13Updated 5 years ago
• OpenProteinAI / PoET
  Inference code for PoET: A generative model of protein families as sequences-of-sequences
  ☆84Updated last year