aws-samples / amazon-sagemaker-protein-classification

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.

Date Created 2021-01-01 (3 years ago)

Commits 17 (last one 2 years ago)

Stargazers 43 (0 this week)

Watchers 28 (0 this week)

Forks 24

License mit-0

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RepositoryStats indexes 585,880 repositories, of these aws-samples/amazon-sagemaker-protein-classification is ranked #498,688 (15th percentile) for total stargazers, and #78,397 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,449/17,153.

Other Information

aws-samples/amazon-sagemaker-protein-classification has 2 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

All Topics

proteins bert-models protbert-model amazon-sagemaker protein-sequences distributed-training protien-classification amazon-sagemaker-studio sagemaker-distributed-data-parallel

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aws-samples/amazon-sagemaker-protein-classification

updated: 2024-11-11 @ 11:23am, id: 325905340 / R_kgDOE2zrvA