aws-samples / amazon-sagemaker-drift-detectionLinks
This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection
☆62Updated last year
Alternatives and similar repositories for amazon-sagemaker-drift-detection
Users that are interested in amazon-sagemaker-drift-detection are comparing it to the libraries listed below
Sorting:
- ☆134Updated last year
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- MLOps workshop with Amazon SageMaker☆104Updated 3 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆143Updated last month
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated 2 weeks ago
- ☆96Updated 4 years ago
- ☆34Updated last year
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆70Updated 2 months 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…☆73Updated last year
- Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to p…☆35Updated 11 months ago
- Learn Amazon SageMaker☆105Updated 2 years ago
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆150Updated 3 months ago
- ☆32Updated 6 months ago
- ☆88Updated 2 years ago
- ☆145Updated 2 years ago
- ☆25Updated last year
- ☆227Updated 10 months ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 2 weeks ago
- ☆25Updated last year
- MLflow on AWS Fargate integrated with Amazon SageMaker.☆27Updated 11 months ago
- A curated list of references for Amazon SageMaker☆169Updated last year
- Amazon SageMaker Local Mode Examples☆257Updated last month
- Compilation of examples of SageMaker inference options and other features.☆68Updated last month
- No Code Low Code Examples☆24Updated 3 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆97Updated 2 years ago
- The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.☆38Updated this week