awslabs / deeplearning-cfnLinks
Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow
☆254Updated 5 years ago
Alternatives and similar repositories for deeplearning-cfn
Users that are interested in deeplearning-cfn are comparing it to the libraries listed below
Sorting:
- Reference Lambda function that predicts image labels for a image using an MXNet-built deep learning model. The repo also has pre-built MX…☆133Updated 2 years ago
- ☆118Updated last year
- Material for re:Invent 2016 - CON314 - Workshop: Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot Instances☆194Updated 5 years ago
- This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud☆46Updated last year
- 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
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 3 months 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
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated 3 months ago
- Notebooks for MXNet☆613Updated 7 years ago
- An EC2 Container Service Architecture which provides the infrastructure for Deep Learning☆70Updated 8 years ago
- Scripts and instructions to facilitate running Deep Learning Tasks on Amazon EMR☆63Updated last year
- This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.☆112Updated 6 years ago
- ☆63Updated 6 years ago
- Workshop to build voice enabled integration with data analytics☆116Updated 5 years ago
- Notebook from the Deep Learning Twitch Series on AWS (https://twitch.tv/aws)☆38Updated 7 years ago
- A Spark library for Amazon SageMaker.☆301Updated 2 months ago
- ☆35Updated 5 years ago
- Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. …☆56Updated 2 years ago
- Natural language processing & computer vision models optimized for AWS☆141Updated 2 years ago
- Simple multi-threaded Kinesis Poster and Worker Python examples☆69Updated 10 years ago
- An example project to deploy MXNet inference API with Docker on Amazon ECS. Uses CodePipeline and CodeBuild to build the image to deploy …☆49Updated 5 years ago
- ECS Scheduler for Running Massive Parallel Computations☆70Updated 9 years ago
- Build the numpy/scipy/scikitlearn packages and strip them down to run in Lambda☆207Updated 6 years ago
- neon model zoo☆178Updated 2 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 3 months ago
- Stand-alone pywren examples☆64Updated 5 years ago
- NumPy Python Library for AWS Lambda☆65Updated 7 years ago
- Serve tensorflow models prediction from AWS lambda endpoints☆57Updated 7 years ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆390Updated 3 years ago
- Notebooks for MXNet☆12Updated 7 years ago