aws / deep-learning-containersLinks
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
β1,096Updated this week
Alternatives and similar repositories for deep-learning-containers
Users that are interested in deep-learning-containers are comparing it to the libraries listed below
Sorting:
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β517Updated 2 weeks ago
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β407Updated last year
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)β250Updated last month
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ430Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (httpβ¦β181Updated last week
- A library for training and deploying machine learning models on Amazon SageMakerβ2,185Updated this week
- Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and iβ¦β534Updated this week
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMakerβ320Updated 2 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at hβ¦β141Updated 10 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.β172Updated last year
- The open source version of the Amazon SageMaker docsβ251Updated 2 years ago
- β309Updated last month
- β230Updated last year
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.β127Updated last year
- Amazon SageMaker Local Mode Examplesβ259Updated 3 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β204Updated 2 months ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β271Updated 2 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use thβ¦β139Updated last week
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.β330Updated 4 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)β171Updated last year
- β266Updated 4 months ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studioβ133Updated 2 years ago
- β87Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkβ¦β186Updated 5 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMakerβ153Updated 2 months ago
- β145Updated 2 years ago
- β135Updated last year
- Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.β334Updated last week
- β409Updated last month
- Hands-on workshop for distributed training and hosting on SageMakerβ146Updated 3 weeks ago