aws-samples / aws-cdk-deep-learning-image-vector-embeddings-at-scale-using-aws-batchLinks
AWS Blog post code for running feature-extraction on images using AWS Batch and Cloud Development Kit (CDK).
☆20Updated 2 years ago
Alternatives and similar repositories for aws-cdk-deep-learning-image-vector-embeddings-at-scale-using-aws-batch
Users that are interested in aws-cdk-deep-learning-image-vector-embeddings-at-scale-using-aws-batch are comparing it to the libraries listed below
Sorting:
- Hosting code-server on Amazon SageMaker☆57Updated last year
- This repository is part of a blog post that guides users through creating a NLU search application using Amazon SageMaker and Amazon Elas…☆17Updated last year
- Samples and documentation for various advertising and marketing use cases on AWS.☆36Updated 2 years ago
- Deploy and scale distributed python applications on Amazon EKS using Ray☆15Updated this week
- Operational Data Processing Framework developed using AWS Glue and Apache Hudi. This framework is suitable for Data Lake and Modern Data …☆22Updated last year
- An extension to the Amazon SQS client that enables sending and receiving messages up to 2GB via Amazon S3.☆46Updated 10 months ago
- A VS Code Extension to make it easier to manage and develop Spark jobs on EMR☆38Updated 4 months ago
- Using Amazon Comprehend, Amazon Elasticsearch with Kibana, Amazon S3, Amazon Cognito to search over large number of documents.☆24Updated last year
- DataHub on AWS demonstration resources☆10Updated 2 years ago
- Serverless Datalake architecture☆13Updated 2 years ago
- Streaming ETL job cases in AWS Glue to integrate Iceberg and creating an in-place updatable data lake on Amazon S3☆23Updated 10 months ago
- Data Pipeline for CDC data from MySQL DB to Amazon OpenSearch Service through Amazon Kinesis using Amazon Data Migration Service(DMS).☆33Updated 5 months ago
- Build and deploy a serverless data pipeline on AWS with no effort.☆111Updated 2 years ago
- A Python helper library for AWS AppConfig☆32Updated 6 months ago
- The elegance of Airflow + the power of AWS☆50Updated last year
- ☆52Updated 6 years ago
- This project is an example of using AWS Step functions to manage and track a series of AWS Batch jobs in N_TO_N mode.☆13Updated 5 months ago
- The Text Analysis with Amazon Comprehend and Amazon OpenSearch Service solution is an automated reference implementation that deploys a c…☆33Updated 8 months ago
- ☆11Updated 11 months ago
- A mono-repository containing many tools and libraries to spark innovation☆29Updated 8 months ago
- Sample code for the AWS Big Data Blog Post Building a scalable streaming data processor with Amazon Kinesis Data Streams on AWS Fargate☆38Updated 3 months ago
- This repository contains ready-to-use notebook examples for a wide variety of use cases in Amazon EMR Studio.☆51Updated last year
- ☆32Updated last year
- The Lambda function S3ObjectLambdaDecompression, is equipped to decompress objects stored in S3 in one of six compressed file formats inc…☆20Updated last year
- ☆36Updated last year
- Automate AWS lambda functions migration across account using CloudFormation☆12Updated 5 years ago
- A simple template to set up basic Vim, Tmux, Zsh for the Deep Learning AMI Amazon Linux 2 for data scientists.☆20Updated 4 years ago
- AWS CDK construct for AWS Chalice☆43Updated last year
- ☆29Updated 4 years ago
- All your AWS Stepfunctions at a glance in the terminal! 🧐☆28Updated 3 years ago