awsdocs / amazon-sagemaker-developer-guideLinks
The open source version of the Amazon SageMaker docs
☆251Updated 2 years ago
Alternatives and similar repositories for amazon-sagemaker-developer-guide
Users that are interested in amazon-sagemaker-developer-guide are comparing it to the libraries listed below
Sorting:
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆329Updated 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
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated 3 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated last month
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆204Updated last month
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last month
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 3 years ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆429Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 3 months ago
- Amazon SageMaker Local Mode Examples☆259Updated 3 months ago
- A Spark library for Amazon SageMaker.☆300Updated 4 months ago
- SageMaker specific extensions to TensorFlow.☆54Updated last year
- ☆145Updated 2 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆97Updated 2 years ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆516Updated last month
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆73Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated last month
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 3 years ago
- Learn Amazon SageMaker☆106Updated 2 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆320Updated 2 years ago
- LLMs and Machine Learning done easily☆440Updated last month
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- ☆135Updated last year
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 5 months ago