Alternatives and similar repositories for DistilProtBert:

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

• xinformatics / alphafold
  Open source code for AlphaFold to extract protein embeddings
  ☆26Updated 3 years ago
• Exscientia / abodybuilder3
  ☆43Updated 3 months ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆24Updated 10 months ago
• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆41Updated 3 years ago
• IBM / fold2seq
  Code for Fold2Seq paper from ICML 2021
  ☆50Updated 2 years ago
• J-SNACKKB / FLIP
  A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
  ☆96Updated 4 months ago
• Rostlab / EAT
  Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…
  ☆31Updated 3 weeks ago
• ranganathanlab / bmDCA
  Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).
  ☆34Updated 4 years ago
• Graylab / deepH3-distances-orientations
  ☆34Updated 3 years ago
• alex-hh / deep-protein-generation
  ☆56Updated 2 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated 9 months ago
• casperg92 / MaSIF_colab
  dMaSIF implementation for google colab
  ☆30Updated last year
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆32Updated 2 months ago
• ivanjayapurna / low-n-protein-engineering
  A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …
  ☆26Updated 4 years ago
• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆80Updated last year
• ba-lab / pdnet
  PDNET: A fully open-source framework for deep learning protein real-valued distances
  ☆34Updated 3 years ago
• timkucera / proteogan
  Protein generative model conditioned on Gene Ontology terms
  ☆35Updated 2 years ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆18Updated last year
• BioinfoMachineLearning / DIPS-Plus
  The Enhanced Database of Interacting Protein Structures for Interface Prediction
  ☆48Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated last year
• MachineLearningLifeScience / meaningful-protein-representations
  ☆108Updated 2 years ago
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆57Updated last year
• brennanaba / ABlooper
  Tool for modelling the CDRs of antibodies
  ☆32Updated 2 years ago
• Immortals-33 / Scaffold-Lab
  A comprehensive benchmark on the performances of multiple protein backbone generative models.
  ☆48Updated this week
• aws-samples / lm-gvp
  LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure
  ☆52Updated 11 months ago
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆39Updated 2 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".
  ☆57Updated 3 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆58Updated 2 years ago
• sarisabban / RamaNet
  Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
  ☆49Updated 3 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆83Updated last year