aws / sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
☆512Updated 2 months ago
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.☆404Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆179Updated this week
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 2 months ago
- Amazon SageMaker Local Mode Examples☆256Updated this week
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆137Updated last month
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆314Updated last year
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆138Updated 6 months ago
- AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.☆1,070Updated this week
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated 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
- ☆222Updated 8 months ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 2 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- 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☆430Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆290Updated 2 weeks ago
- ☆145Updated 2 years ago
- ☆133Updated last year
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆149Updated last month
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆172Updated last year
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆241Updated 2 months ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆329Updated 4 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated last year
- ☆292Updated 6 months ago
- ☆84Updated 11 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
- SageMaker specific extensions to TensorFlow.☆54Updated 9 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year
- LLMs and Machine Learning done easily☆440Updated last year