Pinned Repositories
amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
amazon-sagemaker-generativeai
Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.
amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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.
amazon-sagemaker-visual-transformer
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.
aws-robomaker-robotics-curriculum
Introductory robotics curriculum
aws-service-catalog-sagemaker-studio-domain
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_YOLOv4
PyTorch implementation of YOLOv4
mani-aiml's Repositories
mani-aiml/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.
mani-aiml/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
mani-aiml/amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
mani-aiml/amazon-sagemaker-visual-transformer
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.
mani-aiml/aws-robomaker-robotics-curriculum
Introductory robotics curriculum
mani-aiml/aws-service-catalog-sagemaker-studio-domain
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.
mani-aiml/PyTorch_YOLOv4
PyTorch implementation of YOLOv4