aws-solutions / maintaining-personalized-experiences-with-machine-learning
The Maintaining Personalized Experiences with Machine Learning solution provides an automated pipeline to maintain resources in Amazon Personalize. This pipeline allows you to keep up to date with your user’s most recent activity while sustaining and improving the relevance of recommendations
☆26Updated 2 months ago
Alternatives and similar repositories for maintaining-personalized-experiences-with-machine-learning:
Users that are interested in maintaining-personalized-experiences-with-machine-learning are comparing it to the libraries listed below
- ☆73Updated last year
- The Automated Data Analytics on AWS solution provides an end-to-end data platform for ingesting, transforming, managing and querying data…☆89Updated 3 months ago
- A collection of examples built with AWS DataOps Development Kit (DDK)☆40Updated 6 months ago
- Multi-Branch CI/CD Pipeline using CDK Pipelines.☆46Updated last year
- This repository contains a complete solution for detecting toxicity across voice and text chats, cost efficiently and at scale, in near r…☆12Updated 10 months ago
- Pre-built examples of Generative AI agents with Bedrock across multiple industries.☆31Updated 2 months ago
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆67Updated 2 years ago
- ☆47Updated 3 weeks ago
- Design pattern for orchestrating an incremental data ingestion pipeline using AWS Step Functions from an on premise location into an Amaz…☆28Updated 5 years ago
- aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-awsDemonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangCh…☆61Updated 3 months ago
- ☆13Updated last year
- AWS BikeNow Demo is a sample web application that demonstrates the breadth and depth of database, analytics, and AI/ML services on AWS.☆22Updated last year
- This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.☆92Updated 2 years ago
- CDK Deployment for a sample marketing portal using generative AI for content generation and distribution☆20Updated last month
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 9 months ago
- CDK Constructs library to aid in building Datalakes on AWS☆21Updated last year
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆70Updated last year
- Machine to Cloud Connectivity Framework is a reference implementation that enables connectivity between equipment supporting Open Protoco…☆16Updated last year
- ☆31Updated 10 months ago
- Sample CDK project with React App using ABAC and Amazon Cognito Identity Pools to access AWS resources☆38Updated 4 months ago
- ☆19Updated last year
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆48Updated last year
- This repository demonstrates an approach to set up a central API Gateway with integrations to multiple APIs in different AWS accounts, us…☆21Updated 3 years ago
- Bring your own data Labs: Build a serverless data pipeline based on your own data☆42Updated last year
- ☆12Updated last year
- Collection of Cloud Formation Templates, Lambda Scripts and sample code required to provision an AWS Data Lake for a ReInvent Lab Exercis…☆26Updated 5 years ago
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆42Updated 3 months ago
- Real-time low latency API framework that sits between your applications and recommender systems such as Amazon Personalize☆40Updated 9 months ago
- ☆43Updated 5 months ago
- The AI Powered Speech Analytics for Amazon Connect solution provides the combination of speech to text transcription, translation into pr…☆56Updated last year