aws / deep-learning-containers
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
β1,008Updated this week
Related projects β
Alternatives and complementary repositories for deep-learning-containers
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β496Updated 2 months ago
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β390Updated 11 months ago
- A library for training and deploying machine learning models on Amazon SageMakerβ2,105Updated this week
- Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and iβ¦β459Updated this week
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.β172Updated last year
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β270Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMakerβ295Updated last year
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)β222Updated 2 months ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (httpβ¦β171Updated last week
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ422Updated 7 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at hβ¦β134Updated last month
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β199Updated last year
- β277Updated last week
- Amazon SageMaker Local Mode Examplesβ248Updated 3 months ago
- The open source version of the Amazon SageMaker docsβ251Updated last year
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.β126Updated 11 months ago
- β240Updated 3 weeks ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.β325Updated 3 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use thβ¦β124Updated 3 weeks ago
- β217Updated 2 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
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkβ¦β186Updated 4 years ago
- Notebooks and examples on how to onboard and use various features of Amazon Forecast.β515Updated last year
- Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!β647Updated 2 months ago
- Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.β207Updated this week
- β100Updated last month
- β144Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model proβ¦β146Updated 2 months ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMakerβ148Updated 4 months ago