Alternatives and similar repositories for SeqVec:

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

• 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.
  ☆99Updated 3 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆58Updated 2 years ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆41Updated 3 years ago
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆83Updated 3 years ago
• churchlab / UniRep-analysis
  Analysis and figure code from Alley et al. 2019.
  ☆58Updated last year
• MachineLearningLifeScience / meaningful-protein-representations
  ☆108Updated 2 years ago
• fhalab / embeddings_reproduction
  ☆127Updated 3 years ago
• zswitten / Antimicrobial-Peptides
  Collecting AMP MIC data from different sources, then running a GAN to output promising sequences
  ☆66Updated 5 months ago
• debbiemarkslab / DeepSequence
  A generative latent variable model for biological sequence families.
  ☆212Updated 2 years ago
• soedinglab / CCMpred
  Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
  ☆107Updated last year
• aqlaboratory / rgn2
  ☆102Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated 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…
  ☆59Updated last year
• samsledje / D-SCRIPT
  A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions
  ☆91Updated 4 months ago
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆57Updated last year
• jhmlam / NucleicNet
  ☆35Updated 2 years ago
• Shen-Lab / DeepAffinity
  Protein-compound affinity prediction through unified RNN-CNN
  ☆138Updated 6 months ago
• fhalab / MLDE
  A machine-learning package for navigating combinatorial protein fitness landscapes.
  ☆122Updated 3 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆82Updated last year
• debbiemarkslab / EVmutation
  Mutation effects predicted from sequence co-variation
  ☆62Updated 7 years ago
• brianhie / efficient-evolution
  Efficient evolution from protein language models
  ☆186Updated last year
• alex-hh / deep-protein-generation
  ☆56Updated 2 years ago
• brianhie / evolocity
  Evolutionary velocity with protein language models
  ☆84Updated last year
• csi-greifflab / Absolut
  Unconstrained lattice antibody-antigen bindings generator
  ☆103Updated 6 months ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated 9 months 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".
  ☆56Updated 3 years ago
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆133Updated last year
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆39Updated last year
• kyu999 / biovec
  A new approach for representing biological sequences
  ☆99Updated 4 months ago