yarongef / DistilProtBertLinks
DistilProtBert implementation, a distilled version of ProtBert model.
☆15Updated 2 years ago
Alternatives and similar repositories for DistilProtBert
Users that are interested in DistilProtBert are comparing it to the libraries listed below
Sorting:
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆35Updated 4 years ago
- PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.☆29Updated 2 years ago
- ☆58Updated 2 years ago
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 4 years ago
- PaccMann models for protein language modeling☆42Updated 3 years ago
- ☆57Updated 8 months ago
- Open source code for AlphaFold to extract protein embeddings☆26Updated 3 years ago
- ☆19Updated 4 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated last year
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆32Updated 6 months ago
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆29Updated 10 months ago
- A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …☆27Updated 4 years ago
- RNA Multiple Sequence Alignment☆42Updated last year
- Mono-repo for protein utilities.☆19Updated 3 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- Enzyme datasets used to benchmark enzyme-substrate promiscuity models☆35Updated 3 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- ☆67Updated 3 months ago
- Predict the structure of immune receptor proteins☆49Updated 7 months ago
- Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…☆36Updated 5 months ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆100Updated 8 months ago
- ☆106Updated last year
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆37Updated 2 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆59Updated 4 years ago
- Tool for modelling the CDRs of antibodies☆48Updated 2 years ago
- LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure☆57Updated last year
- ☆37Updated 5 months ago
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆56Updated 6 months ago
- ☆119Updated 10 months ago