aws-samples / amazon-sagemaker-architecting-for-mlLinks
Materials for a 2-day instructor led course on applying machine learning
☆200Updated 4 years ago
Alternatives and similar repositories for amazon-sagemaker-architecting-for-ml
Users that are interested in amazon-sagemaker-architecting-for-ml are comparing it to the libraries listed below
Sorting:
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 3 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆330Updated 4 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
- ☆152Updated 2 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆320Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Build, train & debug, and deploy & monitor with Amazon SageMaker☆120Updated 3 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated last week
- 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
- 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
- AWS Certified Machine Learning - Specialty (MLS-C01)☆165Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆430Updated last year
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- Learn Amazon SageMaker☆106Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆73Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 4 months ago
- Amazon SageMaker Solution for explaining credit decisions.☆96Updated 2 years ago
- AI_ML_Workshops☆52Updated 4 years ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 6 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 2 months ago
- ☆89Updated 2 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last week
- ☆145Updated 2 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 2 months ago
- ☆135Updated last year
- How to train a custom NLP classifier with AWS Comprehend?☆28Updated 4 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 3 years ago