aws-samples / amazon-sagemaker-protein-classificationLinks
Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from Hugging Face library, based on BERT model trained on large corpus of protein sequences.
☆42Updated last year
Alternatives and similar repositories for amazon-sagemaker-protein-classification
Users that are interested in amazon-sagemaker-protein-classification are comparing it to the libraries listed below
Sorting:
- Modelling the Language of Life - Deep Learning Protein Sequences☆74Updated 4 years ago
- Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.☆22Updated 3 years ago
- NLP for Proteins - A paper collection☆13Updated 5 years ago
- ☆79Updated last month
- A repository for neural representational learning of RNA secondary structures☆32Updated 5 years ago
- ☆26Updated 3 years ago
- Predicting protein structure through sequence modeling☆112Updated 5 years ago
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆96Updated 3 years ago
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- A Python package for extracting protein sequence features☆63Updated 3 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆90Updated 2 years ago
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆33Updated 4 years ago
- A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).☆144Updated last month
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 3 years ago
- ☆34Updated 5 years ago
- bio-transformers is a wrapper on top of the ESM/Protbert model, trained on millions on proteins and used to predict embeddings.☆155Updated 2 years ago
- Function prediction using a deep ontology-aware classifier☆84Updated 2 years ago
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆16Updated 3 years ago
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆58Updated 3 years ago
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆20Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 3 months ago
- Protein function prediction using a variational autoencoder☆95Updated 7 years ago
- A case study on Pfam dataset to classify protein families.☆32Updated 6 years ago
- Python utility to estimate, compare, and reweight RNA energetics across many secondary structure algorithms.☆106Updated 5 months ago
- bpRNA: Large-scale Annotation and Analysis of RNA Secondary Structure☆50Updated last year
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- PaccMann models for protein language modeling☆43Updated 4 years ago
- ☆23Updated 2 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆121Updated 5 years ago