aws / sagemaker-xgboost-containerLinks
This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
☆137Updated 2 months ago
Alternatives and similar repositories for sagemaker-xgboost-container
Users that are interested in sagemaker-xgboost-container are comparing it to the libraries listed below
Sorting:
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆180Updated last month
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Amazon SageMaker Local Mode Examples☆257Updated last month
- ☆145Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆150Updated 2 months ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 4 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- ☆134Updated last year
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆172Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 5 months ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆136Updated 3 years ago
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 3 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆60Updated last year
- ☆84Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 3 months ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆406Updated last year
- SageMaker specific extensions to TensorFlow.☆54Updated 10 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆141Updated 7 months ago
- MLOps workshop with Amazon SageMaker☆100Updated 2 months ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆132Updated 2 years ago
- ☆224Updated 9 months ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆143Updated last month
- Amazon SageMaker Solution for explaining credit decisions.☆97Updated 2 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆316Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆290Updated last month
- Custom docker container for Catboost on Amazon SageMaker☆13Updated 2 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year