Michael Walker's starred repositories
prometheus
The Prometheus monitoring system and time series database.
scikit-image
Image processing in Python
aws-lambda-web-adapter
Run web applications on AWS Lambda
type-coverage
A CLI tool to check type coverage for typescript code
react-native-visionos
A framework for building native visionOS applications using React
bedrock-claude-chat
AWS-native chatbot using Bedrock + Claude (+Mistral)
handwritten-text-recognition-for-apache-mxnet
This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
amazon-textract-textractor
Analyze documents with Amazon Textract and generate output in multiple formats.
generative-ai-cdk-constructs
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
ChatGPT-phone
Demo of twilio
aws-cdk-stack-builder-tool
AWS CDK Builder is a browser-based tool designed to streamline bootstrapping of Infrastructure as Code (IaC) projects using the AWS Cloud Development Kit (CDK).
rag-using-langchain-amazon-bedrock-and-opensearch
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
aws-step-functions-kendra-web-crawler-search-engine
This sample aims to demonstrate how to create a serverless web crawler and search engine, using AWS Lambda, AWS Step Functions, and Amazon Kendra
amazon-chime-sdk
This repository contains samples intended to demonstrate different use cases for the Amazon Chime SDK (JavaScript, iOS, Android, React, Messaging and Telephony)
visual-asset-management-system
Visual Asset Management System (VAMS) is a purpose-built, AWS native solution for the management and distribution of specialized visual assets used in spatial computing.
resolved-bot
Resolved is a resy bot that assists in obtaining difficult or high-end reservations. Although it only works with resy, there is an opentable api in the tree.
document-translation
A web user interface and workflow for document translations using the Amazon Translate service
amazon-rekognition-custom-labels-a2i-automated-continuous-model-improvement
With Amazon Rekognition Custom Labels, you can easily build and deploy Machine Learning (ML) models to identify custom objects which are specific to your business domain in images without requiring advanced ML knowledge. When combined with Amazon Augmented AI (A2I), you can quickly integrate a ML workflow to capture and label images with a human workforce for model training. As ML lifecycle is an iterative and repetitive process, you need to implement an effective workflow that can provide for continuous model training with new data and automated deployment. Your workflow also needs to be flexible enough to allow for changes without requiring development rework as your business objectives change. Operationalizing an effective and flexible workflow can be resource intensive, especially for customers who have limited machine learning capabilities. In this post, we will use AWS Step Functions, AWS Lambda, and AWS System Manager Parameter Store to automate a configurable ML workflow for Rekognition Custom Labels and A2I. We will provide an overview of the solution and instructions to deploy it with AWS CloudFormation.
amazon-amplify-passwordless-login-authenticator
Art of the possible with Amplify + iOS passwordless login