aws-samples / serverless-ai-workshop
This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker
☆57Updated 4 years ago
Alternatives and similar repositories for serverless-ai-workshop:
Users that are interested in serverless-ai-workshop are comparing it to the libraries listed below
- Docker images that replicate the Amazon SageMaker Notebook instance.☆58Updated 3 years ago
- A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as…☆22Updated 6 years ago
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆62Updated 6 years ago
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 5 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 3 years ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 2 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 11 months ago
- Bring your own data Labs: Build a serverless data pipeline based on your own data☆44Updated last year
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆136Updated 3 years ago
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆109Updated 5 years ago
- ☆52Updated 7 years ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆69Updated 9 months ago
- Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other exampl…☆98Updated 4 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- Open innovation with 60 minute cloud experiments on AWS☆87Updated 10 months ago
- A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune☆24Updated 3 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆133Updated last week
- 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
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- Code samples related to "Harmonize, Search, and Analyze Loosely Coupled Datasets on AWS" (https://aws.amazon.com/blogs/big-data/harmonize…☆22Updated 5 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆291Updated last year
- SageMaker custom deployments made easy☆60Updated this week
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 2 years ago
- This Solutions Implementation has been superseded by AWS Content Analysis at https://aws.amazon.com/solutions/implementations/aws-content…☆75Updated 4 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- Learn Amazon SageMaker☆105Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago