yarongef / DistilProtBertLinks
DistilProtBert implementation, a distilled version of ProtBert model.
☆15Updated 3 years ago
Alternatives and similar repositories for DistilProtBert
Users that are interested in DistilProtBert are comparing it to the libraries listed below
Sorting:
- Open source code for AlphaFold to extract protein embeddings☆27Updated 4 years ago
- PaccMann models for protein language modeling☆43Updated 3 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆74Updated 4 years ago
- ☆107Updated last year
- ☆127Updated last year
- ☆59Updated 2 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆107Updated last year
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆90Updated 2 years ago
- Code for our paper "Protein sequence design with a learned potential"☆80Updated 2 years ago
- A Python package for extracting protein sequence features☆63Updated 3 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆35Updated last month
- ☆36Updated 9 months ago
- ☆110Updated 3 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆25Updated last year
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆30Updated 3 months ago
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure☆64Updated last year
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆59Updated 4 years ago
- ☆68Updated last year
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆80Updated last year
- Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…☆37Updated 2 months ago
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆72Updated 2 years ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- Protein Design by Machine Learning guided Directed Evolution☆47Updated 6 months ago
- ☆20Updated 4 years ago
- ☆32Updated last month
- Evolutionary velocity with protein language models☆94Updated 2 years ago
- AbLang: A language model for antibodies☆151Updated 2 years ago