Alternatives and similar repositories for paccmann_proteomics

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

• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆74Updated 4 years ago
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 3 years ago
• aqlaboratory / rgn2
  ☆107Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆61Updated 2 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆104Updated 4 years ago
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆119Updated 4 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 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
  ☆90Updated 2 years ago
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆62Updated last year
• zswitten / Antimicrobial-Peptides
  Collecting AMP MIC data from different sources, then running a GAN to output promising sequences
  ☆80Updated last year
• alchemab / antiberta
  Public repository describing training and testing of AntiBERTa.
  ☆61Updated 2 years ago
• j3xugit / RaptorX-3DModeling
  Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…
  ☆98Updated 3 years ago
• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆80Updated 2 years ago
• debbiemarkslab / SeqDesign
  Protein design and variant prediction using autoregressive generative models
  ☆114Updated last year
• oxpig / AbLang
  AbLang: A language model for antibodies
  ☆151Updated 2 years ago
• J-SNACKKB / FLIP
  A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
  ☆107Updated last year
• pylelab / rMSA
  RNA Multiple Sequence Alignment
  ☆46Updated 2 years ago
• psipred / DMPfold
  De novo protein structure prediction using iteratively predicted structural constraints
  ☆60Updated 3 years ago
• fhalab / MLDE
  A machine-learning package for navigating combinatorial protein fitness landscapes.
  ☆129Updated 3 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆25Updated last year
• alex-hh / deep-protein-generation
  ☆59Updated 2 years ago
• psipred / DeepCov
  Fully convolutional neural networks for protein residue-residue contact prediction
  ☆43Updated 6 years ago
• churchlab / UniRep-analysis
  Analysis and figure code from Alley et al. 2019.
  ☆59Updated 2 years ago
• yarongef / DistilProtBert
  DistilProtBert implementation, a distilled version of ProtBert model.
  ☆15Updated 3 years ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated 2 years ago
• IBM / controlled-peptide-generation
  source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molec…
  ☆106Updated last month
• sokrypton / GREMLIN_CPP
  GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!
  ☆57Updated 3 years ago
• gersteinlab / ThermoNet
  ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stabilit…
  ☆118Updated last year