aws-samples / amazon-sagemaker-experiments-dvc-demoLinks
SageMaker Experiments and DVC
☆17Updated 3 years ago
Alternatives and similar repositories for amazon-sagemaker-experiments-dvc-demo
Users that are interested in amazon-sagemaker-experiments-dvc-demo are comparing it to the libraries listed below
Sorting:
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆64Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆45Updated 4 years ago
- ☆144Updated 2 years ago
- ☆33Updated last year
- ☆138Updated last year
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆134Updated 2 years ago
- Hosting code-server on Amazon SageMaker☆57Updated 2 years ago
- MLOps workshop with Amazon SageMaker☆112Updated 9 months ago
- The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.☆40Updated this week
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆152Updated 3 weeks ago
- ☆88Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆58Updated 3 years ago
- This repository contains ready-to-use notebook examples for a wide variety of use cases in Amazon EMR Studio.☆52Updated 2 years ago
- ☆96Updated 4 years ago
- Amazon SageMaker Local Mode Examples☆263Updated 8 months ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆145Updated 2 years ago
- SageMaker Load Testing using Locust☆27Updated 4 years ago
- Build and deploy a serverless data pipeline on AWS with no effort.☆111Updated 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…☆144Updated last week
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize develope…☆232Updated last month
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- A set of Docker images that include popular frameworks for machine learning, data science and visualization.☆142Updated this week
- ☆89Updated 3 years ago
- Sagemaker Studio Docker UI Extension☆11Updated last year
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆72Updated 9 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 7 months ago
- Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to p…☆36Updated last year
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- ☆31Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago