Alternatives and similar repositories for protlearn

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

• aqlaboratory / rgn2
  ☆108Updated 2 years ago
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 4 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆75Updated 5 years ago
• alexarnimueller / modlAMP
  Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
  ☆61Updated 9 months ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆111Updated 3 years ago
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆61Updated 2 years ago
• gitter-lab / nn4dms
  Neural networks for deep mutational scanning data
  ☆71Updated 6 months ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆34Updated 3 months ago
• brianhie / evolocity
  Evolutionary velocity with protein language models
  ☆94Updated 3 weeks ago
• HannesStark / protein-localization
  Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…
  ☆75Updated 2 years ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated 2 years ago
• churchlab / UniRep-analysis
  Analysis and figure code from Alley et al. 2019.
  ☆59Updated 2 years ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆104Updated 4 years ago
• fhalab / SPGen
  ☆20Updated 4 years ago
• Rostlab / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆122Updated 5 years ago
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆61Updated 2 years ago
• fhalab / embeddings_reproduction
  ☆127Updated 4 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆26Updated last year
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆94Updated 2 years ago
• psipred / DMPfold
  De novo protein structure prediction using iteratively predicted structural constraints
  ☆60Updated 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".
  ☆60Updated 4 years ago
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆56Updated last year
• gersteinlab / ThermoNet
  ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stabilit…
  ☆119Updated 2 years ago
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆46Updated 2 years ago
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆52Updated 4 years ago
• psipred / DeepCov
  Fully convolutional neural networks for protein residue-residue contact prediction
  ☆43Updated 6 years ago
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆121Updated 4 years ago
• gv20-therapeutics / antibody-in-pytorch
  Machine learning models for antibody sequences in PyTorch
  ☆41Updated 4 years ago
• biofold / ddgun
  predict stability change upon mutation
  ☆28Updated last year