aws-samples / amazon-sagemaker-managed-spot-training

Related projects: ⓘ

• aws-samples / amazon-sagemaker-codeserver
  Hosting code-server on Amazon SageMaker
  ☆50Updated 11 months ago
• aws-samples / sagemaker-studio-image-build-cli
  CLI for building Docker images in SageMaker Studio using AWS CodeBuild.
  ☆57Updated 2 years ago
• aws-samples / mlops-e2e
  MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
  ☆112Updated this week
• aws-samples / sagemaker-hosting
  ☆41Updated 4 months ago
• aws-samples / aws-lambda-docker-serverless-inference
  Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
  ☆95Updated last month
• 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 de…
  ☆66Updated 3 months ago
• aws-samples / aws-do-eks
  ☆46Updated last week
• aws-samples / awsome-inference
  ☆13Updated last week
• aws-samples / amazon-sagemaker-ml-pipeline-deploy-with-terraform
  ☆48Updated 5 months ago
• aws-samples / aws-inferentia-huggingface-workshop
  CMP314 Optimizing NLP models with Amazon EC2 Inf1 instances in Amazon Sagemaker
  ☆12Updated 8 months ago
• aws / sagemaker-distribution
  A set of Docker images that include popular frameworks for machine learning, data science and visualization.
  ☆89Updated this week
• aws-samples / amazon-sagemaker-drift-detection
  This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection
  ☆58Updated 11 months ago
• aws / sagemaker-pytorch-inference-toolkit
  Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…
  ☆134Updated 3 months ago
• aws-samples / amazon-sagemaker-visual-search
  This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon E…
  ☆10Updated last year
• aletheia / mnist_pl_sagemaker
  MNIST classifier implementation with PyTorch Lightning on Amazon SageMaker
  ☆24Updated last year
• giuseppeporcelli / end-to-end-ml-sm
  End to end Machine Learning with Amazon SageMaker
  ☆37Updated 7 months ago
• aws-samples / aiml-genai-multimodal-agent
  ☆45Updated 4 months ago
• aws-samples / python-data-science-template
  Template for a modular, Python-based data science project.
  ☆34Updated 5 months ago
• aws-samples / generative-ai-on-aws-architecture-patterns
  ☆17Updated 10 months ago
• aws-samples / sagemaker-vector-store-microservice
  ☆17Updated 10 months ago
• aws-samples / sagemaker-studio-lifecycle-config-examples
  ☆78Updated 4 months ago
• philschmid / cdk-samples
  ☆57Updated 2 years ago
• aws-samples / genai-llm-application-monitoring-on-aws
  ☆21Updated 5 months ago
• aws-samples / aws-samples-for-ray
  ☆62Updated 2 months ago
• aws-samples / sagemaker-studio-docker-ui-extension
  Sagemaker Studio Docker UI Extension
  ☆11Updated 5 months ago
• awslabs / sagemaker-dashboards-for-ml
  ☆91Updated 3 years ago
• aws-samples / amazon-sagemaker-safe-deployment-pipeline
  Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
  ☆104Updated last year
• aws-samples / amazon-sagemaker-secure-mlops
  ☆85Updated last year
• aws-samples / amazon-sagemaker-nvidia-ngc-examples
  Examples showing use of NGC containers and models withing Amazon SageMaker
  ☆17Updated last year
• aws / sagemaker-xgboost-container
  This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…
  ☆123Updated last week