aws-samples / aws-video-metadata-knowledge-graph-workshop
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.
☆11Updated 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 10 months ago
- Using Amazon Comprehend, Amazon Elasticsearch with Kibana, Amazon S3, Amazon Cognito to search over large number of documents.☆24Updated last year
- ☆28Updated last month
- A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune☆24Updated 4 years ago
- This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generat…☆21Updated 5 months ago
- Samples and documentation for various advertising and marketing use cases on AWS.☆35Updated last year
- ☆22Updated last year
- ☆44Updated 2 months ago
- This project uses the open-source model Mistral Small, deployed in Amazon SageMaker or invoked via API on Amazon Bedrock, to enable users…☆23Updated last month
- ☆23Updated last year
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆74Updated 6 months ago
- ☆16Updated last year
- aws-solutions-library-samples / guidance-for-preparing-and-validating-records-for-entity-resolution-on-awsThis Guidance demonstrates how to prepare and validate Personally Identifiable Information (PII) data, including physical address, phone,…☆9Updated 6 months ago
- ☆51Updated last year
- ☆37Updated 2 weeks ago
- This repository contains sample code for ML on graph use cases using Amazon Neptune ML☆15Updated 3 years ago
- ☆31Updated last year
- ☆20Updated last year
- ☆28Updated 2 weeks ago
- ☆13Updated 3 weeks ago
- ☆33Updated last year
- ☆17Updated last year
- Operational Data Processing Framework developed using AWS Glue and Apache Hudi. This framework is suitable for Data Lake and Modern Data …☆22Updated last year
- ☆13Updated last week
- Deploy and scale distributed python applications on Amazon EKS using Ray☆14Updated this week
- ☆17Updated 3 years ago
- 'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker☆42Updated 3 months ago
- ☆16Updated last year
- A sample set of notebooks demonstrating Amazon Comprehend capabilities.☆44Updated last year
- ☆36Updated 3 months ago