aws-samples / reinvent2019-aim362-sagemaker-debugger-model-monitor
Build, train & debug, and deploy & monitor with Amazon SageMaker
☆120Updated 2 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
- Hands-on SageMaker lab looking at cell phone churn☆43Updated 4 years ago
- ☆55Updated 5 years ago
- ☆34Updated 5 years ago
- Materials for a 2-day instructor led course on applying machine learning☆201Updated 3 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
- AI_ML_Workshops☆52Updated 4 years ago
- End to end code samples for training an object detection model in Amazon SageMaker using the built-in SSD algorithm and running it on AWS…☆39Updated 4 years ago
- Learn Amazon SageMaker☆105Updated 2 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
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- 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
- ☆152Updated 2 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆329Updated 3 years ago
- Open innovation with 60 minute cloud experiments on AWS☆87Updated 11 months ago
- ☆52Updated 7 years ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 3 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- ☆339Updated 7 months ago
- AWS Workshop tutorial for building applications with Amazon AI Services☆31Updated 2 years ago
- sagemaker mammography tko workshop☆11Updated 4 years ago
- Data Analytics Week at the AWS Loft☆47Updated 4 years ago
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆176Updated last week
- ☆81Updated 6 years ago
- Deliver Pinpoint Campaigns Driven by Machine Learning on AWS SageMaker☆18Updated 6 years ago
- ☆21Updated 5 years ago