PaccMann / paccmann_proteomicsLinks
PaccMann models for protein language modeling
☆43Updated 4 years ago
Alternatives and similar repositories for paccmann_proteomics
Users that are interested in paccmann_proteomics are comparing it to the libraries listed below
Sorting:
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- ☆110Updated 3 years ago
- ☆109Updated last year
- Modelling the Language of Life - Deep Learning Protein Sequences☆74Updated 4 years ago
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Multi-task and masked language model-based protein sequence embedding models.☆104Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆81Updated 2 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆120Updated 4 years ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆61Updated last year
- Public repository describing training and testing of AntiBERTa.☆61Updated 2 years ago
- 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
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆105Updated 2 weeks ago
- ☆59Updated 2 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆92Updated 2 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆57Updated 3 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆43Updated 6 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆129Updated 4 years ago
- AbLang: A language model for antibodies☆151Updated 2 years ago
- Protein design and variant prediction using autoregressive generative models☆115Updated last year
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆20Updated 2 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆60Updated 3 years ago
- Protein language model trained on coding DNA☆51Updated last year
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆108Updated last year
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆60Updated last month
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆25Updated last year
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆85Updated last year
- Neural networks for deep mutational scanning data☆70Updated 5 months ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆59Updated 4 years ago