ritchie46 / sagemaker-custom-modelLinks
Deploy your pretrained model on AWS SageMaker
☆36Updated 7 years ago
Alternatives and similar repositories for sagemaker-custom-model
Users that are interested in sagemaker-custom-model are comparing it to the libraries listed below
Sorting:
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 2 years ago
- Hands-on demonstrations for data scientists exploring SageMaker☆45Updated 3 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated last month
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆325Updated 2 years ago
- ☆96Updated 4 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆187Updated 5 years ago
- Learn Amazon SageMaker☆105Updated this week
- ☆137Updated last year
- The open source version of the Amazon SageMaker docs☆252Updated 2 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 4 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆154Updated last month
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 6 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 3 months ago
- Scale complete ML development with Amazon SageMaker Studio☆185Updated last year
- This sample show you how to train BERT on Amazon Sagemaker using Spot instances☆31Updated 2 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆64Updated 2 years ago
- Amazon SageMaker Local Mode Examples☆262Updated 7 months ago
- LLMs and Machine Learning done easily☆442Updated 4 months ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆45Updated 4 years ago
- ☆25Updated 6 years ago
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆109Updated 5 years ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆524Updated 2 months ago
- SageMaker custom deployments made easy☆63Updated 8 months ago
- Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.☆37Updated 11 months ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 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 last week