Alternatives and similar repositories for VAE_protein_function

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

• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆73Updated 4 years ago
• churchlab / UniRep-analysis
  Analysis and figure code from Alley et al. 2019.
  ☆58Updated 2 years ago
• fhalab / embeddings_reproduction
  ☆127Updated 4 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆88Updated 2 years ago
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 3 years ago
• av1659 / fbgan
  ☆56Updated 6 years ago
• kyu999 / biovec
  A new approach for representing biological sequences
  ☆99Updated 11 months ago
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆60Updated 2 years ago
• debbiemarkslab / DeepSequence
  A generative latent variable model for biological sequence families.
  ☆233Updated 3 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• ElArkk / jax-unirep
  Reimplementation of the UniRep protein featurization model.
  ☆107Updated 11 months ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆59Updated 3 years ago
• psipred / DeepCov
  Fully convolutional neural networks for protein residue-residue contact prediction
  ☆43Updated 6 years ago
• sameerkhurana10 / DSOL_rv0.2
  deep protein solubility prediction
  ☆39Updated 6 years ago
• ehsanasgari / Deep-Proteomics
  ☆51Updated 5 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
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆43Updated 3 years ago
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆36Updated 4 years ago
• largelymfs / deepcontact
  DeepContact Software
  ☆26Updated 7 years ago
• psipred / DMPfold
  De novo protein structure prediction using iteratively predicted structural constraints
  ☆60Updated 3 years ago
• songlab-cal / tape-neurips2019
  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…
  ☆120Updated 4 years ago
• johli / genesis
  Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences
  ☆30Updated 3 years ago
• JJAlmagro / subcellular_localization
  ☆58Updated 8 years ago
• lamoureux-lab / TorchProteinLibrary
  PyTorch library of layers acting on protein representations
  ☆119Updated last year
• Rostlab / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆119Updated 4 years ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆102Updated 4 years ago
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆37Updated 3 years ago
• csi-greifflab / Absolut
  Unconstrained lattice antibody-antigen bindings generator
  ☆110Updated last year
• HYsxe / ACME
  Supplementary data for the ACME algorithm
  ☆23Updated 2 years ago