Pinned Repositories
amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
amazon-sagemaker-samples
amazon-textract-analyze-expense-processing-pipeline
aws-customer-playbook-framework
This repository provides sample templates for security playbooks against various scenarios when using Amazon Web Services.
aws-serverless-ai-stories
Example open source event-driven application that generates a new bed time story for your children every night using Lambda, EventBridge, DynamoDB, App Runner, ChatGPT and DALL-E.
awsome-distributed-training
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
guidance-for-machine-learning-inference-on-aws
This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale
qt-project
A simple Qt project
text-to-sql-bedrock-workshop
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
mchugh7153's Repositories
mchugh7153/amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models
mchugh7153/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
mchugh7153/amazon-sagemaker-samples
mchugh7153/amazon-textract-analyze-expense-processing-pipeline
mchugh7153/aws-customer-playbook-framework
This repository provides sample templates for security playbooks against various scenarios when using Amazon Web Services.
mchugh7153/aws-serverless-ai-stories
Example open source event-driven application that generates a new bed time story for your children every night using Lambda, EventBridge, DynamoDB, App Runner, ChatGPT and DALL-E.
mchugh7153/awsome-distributed-training
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
mchugh7153/guidance-for-machine-learning-inference-on-aws
This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale
mchugh7153/qt-project
A simple Qt project
mchugh7153/text-to-sql-bedrock-workshop
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.