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amazon-sagemaker-studio

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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.

  • Updated May 3, 2024
  • Jupyter Notebook

Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

  • Updated Dec 28, 2020
  • Jupyter Notebook

Build end-to-end Data Science (NLP) project for Amazon's Product Review Sentiment Classification using AWS tools.

  • Updated Jul 20, 2021
  • Jupyter Notebook

The Build with AWS app simplifies selecting from over 200 AWS services by analyzing project details and recommending tailored solutions. It provides step-by-step integration guidance and features AI-driven recommendations, real-time chat support, and curated AWS resources.

  • Updated Oct 20, 2024
  • Jupyter Notebook

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