phonghuule / reinvent2019-aim362-sagemaker-debugger-model-monitor
Build, train & debug, and deploy & monitor with Amazon SageMaker
☆27Updated 4 years ago
Alternatives and similar repositories for reinvent2019-aim362-sagemaker-debugger-model-monitor:
Users that are interested in reinvent2019-aim362-sagemaker-debugger-model-monitor are comparing it to the libraries listed below
- Building an NLP-powered search index with Amazon Textract and Amazon Comprehend☆21Updated 3 years ago
- Hands-on SageMaker lab looking at cell phone churn☆57Updated 3 years ago
- ☆18Updated last year
- A collection of labs which i create in my spare time☆95Updated 3 years ago
- ☆15Updated 2 years ago
- This lab is about how to add the AI and ML cloud service feature to your web application with React and the Amplify Framework.☆84Updated 2 years ago
- ☆16Updated 2 years ago
- ☆17Updated 2 years ago
- Generate batch personalized recommendations using Amazon Personalize☆40Updated 4 years ago
- AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide, published by Packt☆62Updated 3 years ago
- ☆43Updated 4 years ago
- In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in…☆229Updated 2 months ago
- Create a Lab with ELB using Authentication via Cognito☆74Updated last year
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- A demo lab showing how to execute A/B testing using lambda@edge functions☆53Updated 4 years ago
- ☆26Updated last year
- Showcase how to retrieve service health status by calling health api at organization level☆50Updated 4 years ago
- ☆36Updated 4 years ago
- Build and Run a Containerized Web Application using Docker and Amazon Elastic Container Service (ECS)☆92Updated 4 years ago
- DAS-C01 ACG/LA by Brock Tubre and John Hanna☆126Updated last year
- Amazon SageMaker Best Practices, published by Packt☆28Updated 2 years ago
- Devlab for Fargate☆48Updated 4 years ago
- Machine Learning with Amazon SageMaker Cookbook, published by Packt☆54Updated 2 years ago
- Automated Machine Learning on AWS, published by Packt☆45Updated last year
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆60Updated last year
- Learn Amazon SageMaker☆105Updated 2 years ago
- DevLab prepared for AWS Submit☆52Updated 4 years ago
- ☆11Updated 2 years ago
- ☆17Updated 4 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago