aws-samples / amazon-sagemaker-mlflow-fargateLinks
Managing your machine learning lifecycle with MLflow and Amazon SageMaker
☆154Updated 2 months ago
Alternatives and similar repositories for amazon-sagemaker-mlflow-fargate
Users that are interested in amazon-sagemaker-mlflow-fargate are comparing it to the libraries listed below
Sorting:
- ☆138Updated last year
- Amazon SageMaker Local Mode Examples☆261Updated 8 months ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆327Updated 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…☆143Updated this week
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated 2 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated 2 months ago
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize develope…☆232Updated last month
- MLOps workshop with Amazon SageMaker☆112Updated 9 months ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆152Updated 3 weeks ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆527Updated 3 months ago
- Scale complete ML development with Amazon SageMaker Studio☆186Updated last year
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆410Updated 2 years ago
- ☆144Updated 2 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆134Updated 2 years ago
- MLOps example using Amazon SageMaker Pipeline and GitHub Actions☆88Updated 6 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…☆74Updated last year
- LLMs and Machine Learning done easily☆442Updated 5 months ago
- 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
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 7 months ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years 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
- ☆318Updated last month
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 2 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆72Updated 9 months ago
- ☆88Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 4 months ago