pywren / examples
Stand-alone pywren examples
☆63Updated 5 years ago
Alternatives and similar repositories for examples:
Users that are interested in examples are comparing it to the libraries listed below
- AWS Batch helpers is a collection of scripts and tools that can be used with AWS Batch.☆134Updated 5 years ago
- Serverless Scientific Computing☆87Updated 5 years ago
- Apache Spark on AWS Lambda☆151Updated 2 years ago
- A Data Platform built for AWS, powered by Kubernetes.☆127Updated last year
- Scripts and instructions to facilitate running Deep Learning Tasks on Amazon EMR☆63Updated last year
- PyAthenaJDBC is an Amazon Athena JDBC driver wrapper for the Python DB API 2.0 (PEP 249).☆95Updated last year
- An extension for Jupyter notebooks that allows running notebooks inside a Docker container and converting them to runnable Docker images.☆28Updated last year
- Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow☆254Updated 5 years ago
- Start a cluster in EC2 for dask.distributed☆106Updated 4 years ago
- Simple multi-threaded Kinesis Poster and Worker Python examples☆69Updated 9 years ago
- T4 is now in production as Quilt 3☆64Updated 5 years ago
- A python library to run your existing code on AWS Batch☆71Updated last year
- ☆19Updated 5 years ago
- The open source version of the Amazon Athena documentation. To submit feedback & requests for changes, submit issues in this repository, …☆82Updated last year
- ☆53Updated last year
- 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
- Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS☆164Updated 5 years ago
- Create Parquet files from CSV☆67Updated 7 years ago
- Staging area for ongoing enhancements to Ray focused on improving integration with AWS and other Amazon technologies.☆66Updated last year
- An EC2 Container Service Architecture which provides the infrastructure for Deep Learning☆70Updated 8 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆291Updated last year
- This code demonstrates the architecture featured on the AWS Big Data blog (https://aws.amazon.com/blogs/big-data/ ) which creates a concu…☆75Updated 6 years ago
- Spawns JupyterHub single user servers in Docker containers running in AWS Fargate☆48Updated 5 months 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
- Cloudformation and SQL scripts used to replicate a POC environment from the "Data Lake to Data Warehouse: Enhancing Customer 360 with Ama…☆31Updated 5 years ago
- Deploy dask-distributed on google container engine using kubernetes☆40Updated 5 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon …☆427Updated last year
- Pytest plugin for local AWS integration tests☆78Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 4 years ago