aws-samples / aws-video-metadata-knowledge-graph-workshopLinks
This repository contains a series of 4 jupyter notebooks demonstrating how AWS AI Services like Amazon Rekognition, Amazon Transcribe and Amazon Comprehend can help you extract valuable metadata from your video assets and store that information in a Graph database like Amazon Neptune for maximum query performance and flexibility.
☆12Updated 4 years ago
Alternatives and similar repositories for aws-video-metadata-knowledge-graph-workshop
Users that are interested in aws-video-metadata-knowledge-graph-workshop are comparing it to the libraries listed below
Sorting:
- ☆26Updated last year
- This repository contains sample code for ML on graph use cases using Amazon Neptune ML☆15Updated 4 years ago
- A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune☆24Updated 4 years ago
- Samples and documentation for various advertising and marketing use cases on AWS.☆36Updated 2 years ago
- ☆16Updated last year
- This repository contains ready-to-use notebook examples for a wide variety of use cases in Amazon EMR Studio.☆52Updated 2 years ago
- ☆24Updated last year
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆95Updated last year
- ☆17Updated last year
- Learn to build custom prompts and tools for LangChain agents☆40Updated last year
- ☆22Updated 2 years ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆128Updated 10 months ago
- ☆42Updated 7 months ago
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 3 years ago
- Using Amazon Comprehend, Amazon Elasticsearch with Kibana, Amazon S3, Amazon Cognito to search over large number of documents.☆24Updated last year
- ☆54Updated last year
- ☆28Updated 2 weeks ago
- ☆28Updated 7 months ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆58Updated 3 years ago
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Base…☆66Updated 6 months ago
- ☆26Updated 7 months ago
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆68Updated 3 years ago
- ☆45Updated 10 months ago
- Source code for the post, 'Getting Started with Data Analysis on AWS, using S3, Glue, Amazon Athena, and QuickSight'☆28Updated 5 years ago
- This workshop will familiarize you with some of the key steps towards building an autonomous driving data lake and extracting images from…☆10Updated 3 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆64Updated 2 years ago
- AWS BikeNow Demo is a sample web application that demonstrates the breadth and depth of database, analytics, and AI/ML services on AWS.☆23Updated 2 years ago
- The AI Powered Speech Analytics for Amazon Connect solution provides the combination of speech to text transcription, translation into pr…☆55Updated 2 years ago
- The Text Analysis with Amazon Comprehend and Amazon OpenSearch Service solution is an automated reference implementation that deploys a c…☆34Updated last year
- ☆158Updated last year