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 3 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 3 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
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆126Updated 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
- Deploy and scale distributed python applications on Amazon EKS using Ray☆20Updated last month
- ☆158Updated last year
- ☆16Updated 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 2 years ago
- Tools and utilities to enable loading data and building graph applications with Amazon Neptune.☆311Updated 2 weeks ago
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆68Updated 3 years ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆94Updated 11 months ago
- ☆53Updated last year
- ☆14Updated 2 years ago
- ☆23Updated last year
- This solution combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting custom…☆17Updated 4 years ago
- ☆17Updated last year
- Learn to build custom prompts and tools for LangChain agents☆38Updated last year
- Reference Architectures for Graph Databases on AWS☆250Updated last year
- ☆44Updated 2 months ago
- ☆28Updated 3 weeks ago
- Amazon Neptune utility for GraphQL™ schemas and resolvers☆25Updated 3 weeks ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆62Updated last year
- ☆23Updated last year
- ☆45Updated 7 months ago
- A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata ser…☆65Updated 3 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