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.
☆1,108Updated last 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 🐳 Docker container using 🧠 Amazon SageMaker.☆518Updated last month
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆408Updated last year
- A library for training and deploying machine learning models on Amazon SageMaker☆2,200Updated last week
- Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and i…☆548Updated last week
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆255Updated 3 months ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated 2 weeks ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆430Updated last year
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆140Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆324Updated 2 years ago
- ☆230Updated last year
- Amazon SageMaker Local Mode Examples☆261Updated 5 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated 2 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆270Updated 4 months ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated last month
- Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!☆740Updated last year
- ☆315Updated last month
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.☆355Updated last week
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆133Updated 2 years ago
- A curated list of references for Amazon SageMaker☆173Updated last year
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆153Updated last month
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆185Updated 5 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆140Updated last week
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆331Updated 4 years ago
- ☆145Updated 2 years ago
- ☆429Updated 3 weeks ago
- Scale complete ML development with Amazon SageMaker Studio☆182Updated 11 months ago
- Hands-on workshop for distributed training and hosting on SageMaker☆147Updated last week