aws / sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
☆506Updated last month
Alternatives and similar repositories for sagemaker-training-toolkit:
Users that are interested in sagemaker-training-toolkit are comparing it to the libraries listed below
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆401Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆176Updated last week
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆202Updated last month
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆133Updated 2 weeks ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Amazon SageMaker Local Mode Examples☆254Updated last month
- AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.☆1,054Updated this week
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆270Updated last month
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆310Updated 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
- The open source version of the Amazon SageMaker docs☆251Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆427Updated 11 months ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆329Updated 3 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
- ☆222Updated 7 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆137Updated 5 months ago
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆234Updated 3 weeks ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆149Updated this week
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆291Updated last year
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated 10 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- ☆145Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆142Updated last year
- A library for training and deploying machine learning models on Amazon SageMaker☆2,147Updated this week
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆130Updated last year
- MLOps workshop with Amazon SageMaker☆97Updated 6 months ago
- ☆133Updated 10 months ago
- ☆84Updated 10 months ago
- Scale complete ML development with Amazon SageMaker Studio☆158Updated 4 months ago