thushv89 / xgboost-aws-containerLinks
☆35Updated 4 years ago
Alternatives and similar repositories for xgboost-aws-container
Users that are interested in xgboost-aws-container are comparing it to the libraries listed below
Sorting:
- Example custom model image trainable and distributable via AWS SageMaker☆35Updated last month
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 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
- Learn Amazon SageMaker☆105Updated last month
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 11 months ago
- ☆95Updated 4 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- The open source version of the Amazon SageMaker docs☆252Updated 2 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆63Updated 2 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 4 years ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 4 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 3 months ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated last month
- ☆153Updated 2 years ago
- AWS Certified Machine Learning - Specialty (MLS-C01)☆167Updated 2 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆325Updated 2 years ago
- Build, train & debug, and deploy & monitor with Amazon SageMaker☆120Updated 3 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 6 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- Deploy your ML model as an API on AWS☆41Updated 4 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆98Updated 2 years 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
- ☆137Updated last year
- A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type☆26Updated 3 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆270Updated 6 months ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago