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Name: Mani Khanuja
Type: User
Company: Amazon Web Services
Bio: AI/ML Specialist Solution Architect
Location: Los Angeles
Name: Mani Khanuja
Type: User
Company: Amazon Web Services
Bio: AI/ML Specialist Solution Architect
Location: Los Angeles
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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.
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.
Introductory robotics curriculum
Workshop to launch Amazon SageMaker Studio domain using AWS Service Catalog and AWS SSO in the AWS Control Tower environment, using AWS CloudFormation templates and lambda functions.
PyTorch implementation of YOLOv4
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