aws / sagemaker-training-toolkit
Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.
β496Updated 2 months ago
Related projects β
Alternatives and complementary repositories for sagemaker-training-toolkit
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β391Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (httpβ¦β171Updated 2 weeks ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use thβ¦β125Updated last month
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.β127Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkβ¦β185Updated 4 years ago
- Amazon SageMaker Local Mode Examplesβ248Updated 3 months ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMakerβ296Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β199Updated last year
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at hβ¦β134Updated last month
- Managing your machine learning lifecycle with MLflow and Amazon SageMakerβ148Updated 5 months ago
- β217Updated 3 months ago
- The open source version of the Amazon SageMaker docsβ250Updated last year
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.β325Updated 3 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β270Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ422Updated 7 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)β171Updated 11 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.β172Updated last year
- AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.β1,011Updated this week
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)β223Updated 2 months ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to eventsβ142Updated last year
- β143Updated last year
- Scale complete ML development with Amazon SageMaker Studioβ147Updated last week
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWSβ289Updated last year
- SageMaker specific extensions to TensorFlow.β54Updated 3 months ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensorsβ161Updated 6 months ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studioβ128Updated last year
- Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and iβ¦β462Updated last week
- β278Updated 2 weeks ago
- β128Updated 6 months ago
- Implementations of Amazon SageMaker-compatible custom containers for training.β25Updated 3 years ago