aws-samples / aws-mlflow-sagemaker-cdkLinks
MLflow on AWS Fargate integrated with Amazon SageMaker.
☆27Updated last year
Alternatives and similar repositories for aws-mlflow-sagemaker-cdk
Users that are interested in aws-mlflow-sagemaker-cdk are comparing it to the libraries listed below
Sorting:
- ☆24Updated 2 years ago
- ☆136Updated last year
- ☆73Updated last year
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆153Updated last week
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆140Updated 3 weeks ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆57Updated 3 years ago
- ☆144Updated 2 years ago
- Hands-on workshop for distributed training and hosting on SageMaker☆150Updated last week
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆149Updated 6 months ago
- Amazon SageMaker Local Mode Examples☆262Updated 6 months ago
- ☆34Updated 10 months ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- MLOps workshop with Amazon SageMaker☆111Updated 7 months ago
- ☆89Updated 2 years ago
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆47Updated 4 years ago
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆72Updated 7 months ago
- A curated list of references for Amazon SageMaker☆175Updated last year
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆140Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆63Updated 2 years ago
- Amazon SageMaker Edge Manager Workshop☆36Updated 3 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated 2 years ago
- SageMaker custom deployments made easy☆62Updated 7 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 5 months ago
- ☆231Updated last year
- ☆33Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆323Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 years ago
- End to end Machine Learning with Amazon SageMaker☆42Updated last year