aws-samples / aws-lambda-docker-serverless-inferenceLinks
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
☆100Updated last year
Alternatives and similar repositories for aws-lambda-docker-serverless-inference
Users that are interested in aws-lambda-docker-serverless-inference are comparing it to the libraries listed below
Sorting:
- ☆136Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆147Updated 4 months ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆62Updated last year
- ☆96Updated 4 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated last year
- ☆145Updated 2 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 3 weeks ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆99Updated 4 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 3 months ago
- ☆89Updated 2 years ago
- Amazon SageMaker Local Mode Examples☆259Updated 4 months ago
- SageMaker custom deployments made easy☆61Updated 5 months ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆153Updated this week
- Compilation of examples of SageMaker inference options and other features.☆69Updated last month
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆142Updated 11 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last week
- MLOps workshop with Amazon SageMaker☆110Updated 5 months ago
- ☆34Updated 8 months ago
- Learn Amazon SageMaker☆106Updated last week
- Amazon SageMaker Managed Spot Training Examples☆50Updated last year
- Scale complete ML development with Amazon SageMaker Studio☆182Updated 10 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- A curated list of references for Amazon SageMaker☆173Updated last year
- ☆230Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆321Updated 2 years ago
- This repo will teach you how to deploy an ML-powered web app to AWS Fargate from start to finish using Streamlit and AWS CDK☆108Updated 4 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 2 years ago