aws-samples / sagemaker-horovod-distributed-training
Distributed training with SageMaker's script mode using Horovod distributed deep learning framework
☆32Updated 5 years ago
Alternatives and similar repositories for sagemaker-horovod-distributed-training:
Users that are interested in sagemaker-horovod-distributed-training are comparing it to the libraries listed below
- SageMaker specific extensions to TensorFlow.☆54Updated 5 months ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated last year
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- A high performance data access library for machine learning tasks☆74Updated last year
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆136Updated 3 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆201Updated last year
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 4 years ago
- Natural language processing & computer vision models optimized for AWS☆141Updated 2 years ago
- SageMaker Studio Docker CLI Extension☆13Updated 9 months ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆68Updated 7 months ago
- ☆66Updated 6 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆130Updated 3 weeks ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 4 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated 8 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated last year
- ☆25Updated last year
- Examples showing use of NGC containers and models withing Amazon SageMaker☆17Updated 2 years ago
- ☆32Updated 10 months ago
- ☆145Updated last year
- ☆20Updated 2 years ago
- ☆87Updated 2 years ago
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 5 years ago
- MLflow on AWS Fargate integrated with Amazon SageMaker.☆27Updated 6 months ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆42Updated 3 years ago
- Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference example…☆51Updated last week
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆61Updated 6 years ago