Alternatives and similar repositories for paccmann_proteomics

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

• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆59Updated 9 months ago
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆59Updated 2 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 3 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆24Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆59Updated last year
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆72Updated 4 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆86Updated last year
• dahjan / DMS_opt
  ☆68Updated 4 years ago
• Liuxg16 / GeoPPI
  ☆86Updated 2 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆109Updated 3 years ago
• Tessier-Lab-UMich / Emi_Pareto_Opt_ML
  ☆20Updated 2 years ago
• zswitten / Antimicrobial-Peptides
  Collecting AMP MIC data from different sources, then running a GAN to output promising sequences
  ☆77Updated 9 months ago
• marcellszi / rna3db
  A dataset for training and benchmarking deep learning models for RNA structure prediction
  ☆51Updated 5 months ago
• aqlaboratory / rgn2
  ☆106Updated last year
• 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".
  ☆58Updated 4 years ago
• oxpig / CaLM
  Protein language model trained on coding DNA
  ☆47Updated 6 months ago
• psipred / DeepCov
  Fully convolutional neural networks for protein residue-residue contact prediction
  ☆44Updated 6 years ago
• MartinThoma / propy3
  A Python 3 version of the protein descriptor package propy
  ☆41Updated 2 years ago
• chloechsu / combining-evolutionary-and-assay-labelled-data
  ☆62Updated 3 years ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆102Updated 3 years ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated last year
• alex-hh / deep-protein-generation
  ☆57Updated 2 years 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…
  ☆63Updated last year
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆32Updated 5 months ago
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆99Updated last year
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆114Updated 3 years ago
• sokrypton / GREMLIN_CPP
  GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!
  ☆53Updated 2 years ago
• tadorfer / nlprot
  NLP for Proteins - A paper collection
  ☆13Updated 4 years ago
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆139Updated last year