awslabs / mlmax
Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.
☆69Updated 9 months ago
Alternatives and similar repositories for mlmax:
Users that are interested in mlmax are comparing it to the libraries listed below
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆60Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆134Updated 3 weeks ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆54Updated 2 years ago
- ☆95Updated 3 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated 8 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- ☆133Updated 11 months ago
- ☆145Updated 2 years ago
- Learn Amazon SageMaker☆105Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆177Updated 3 weeks ago
- ☆33Updated last year
- Build and deploy a serverless data pipeline on AWS with no effort.☆111Updated 2 years ago
- Hosting code-server on Amazon SageMaker☆54Updated last year
- ☆84Updated 10 months ago
- ☆88Updated 2 years ago
- A library of additional estimators and SageMaker tools based on scikit-learn☆39Updated last year
- SageMaker custom deployments made easy☆61Updated this week
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆142Updated last year
- ☆222Updated 7 months ago
- The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.☆37Updated last month
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆139Updated last week
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆151Updated 3 months ago
- ☆25Updated last year
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 4 years ago
- MLOps workshop with Amazon SageMaker☆98Updated last week
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago