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awesome-aws-research
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS
https://github.com/randyridgley/awesome-aws-research
- Intro to AWS
- Open Guide to AWS
- Learn about AWS Global Infrastructure
- Open Data Registry on AWS
- Amazon Science
- AWS Training & Certificaton Free Cloud Essentials Digital Training
- AWS Innovation Sandbox
- Launch a Linux Virtual Machine
- Store and Retrieve a file
- Host Static Web Site
- Controlling Costs with Free tier and Budgets
- Set up HIPAA Reference Architecture on AWS
- FHIRWorks on AWS
- Service Workbench on AWS
- HITRUST on AWS
- Compute on AWS
- Storage on AWS
- Overview of AWS Services
- Right sizing for cost optimzation
- Cost Management
- Big Data & Analytics overview
- Storage services overview
- Deep Learning
- EC2 Spot Best Practices
- AWS Account & Root User Basics
- Identity and Access Management
- Launch EC2 Spot Instances
- Amazon S3 & FSx for Lustre: Dive on high-performance file storage
- Amazon EC2 foundations
- AWS Outposts: Extend the AWS experience to on-premises environments
- Cost Optimization with Containers and Spot
- AWS networking fundamentals
- Monitoring the Earth without costing the world
- Get your data to AWS: How to choose and use data migration services
- Connectivity to AWS and hybrid AWS network architectures
- NIH uses the cloud to accelerate cures
- Accelerating Time to Science Using Cloud
- Enabling Research Using Cloud
- HPC on AWS
- AWS Batch Landing Page
- AWS Batch Documentation
- AWS Batch Getting Started Guide
- ParallelCluster Landing Page
- ParellelCluster Documentation
- ParallelCluster Getting Started Guide
- Introduction to ParallelCluster
- ParallelCluster with FSx for Luster
- Introduction to AWS Batch with CARLA driving simulator
- Monte Carlo Simulations on AWS Batch with Spot
- AWS Batch Genomics Workflows with Cromwell and Nextflow
- Building an interactive and scalable ML research environment using AWS ParallelCluster
- A Scientist's Guide to Cloud-HPC: Example with AWS ParallelCluster, Slurm, Spack, and WRF
- AWS infrastructure for large-scale training at Facebook AI
- Enabling Research using Hybrid HPC Cloud Computing
- AWS Batch with Elastic Fabric Adapter (EFA)
- AWS ParallelCluster Price Perfomance
- HT Condor Annex User Guide
- HT Condor Annex install scripts
- Slurm Elastic Computing
- Bursting with Slurm Part 1
- Bursting with Slurm Part 2
- Landing Page
- SageMaker Documentation
- AWS Training & Certification Free Digital Training
- AWS Machine Learning Research Awards
- Coursera Getting Started with AWS Machine Learning
- AWSLabs Machine Learning Samples
- Augmented AI Example UIs
- Group Truth data labeling UIs
- Distributed Training with SageMaker and Horovod
- Distributed Training with EKS and Horovod
- FHIR Integration with Amazon Comprehend Medical
- Everything DeepRacer
- SpaceNet on SageMaker
- ETL Pipelines for SageMaker
- Amazon SageMaker Heart Disease Prediction
- MLOps with Amazon SageMaker
- Object Detection from scratch with Amazon SageMaker
- Elastic Inference Object Detection with Amazon SageMaker
- Document Understanding Solution
- AI-Powered Health Data Masking
- AWS DataExchange and Amazon SageMaker for sharing data for ML workloads
- Semantic segmentation labeling with Amazon SageMaker Ground Truth
- Amazon SageMaker multi-model inference endpoints
- Annotate DICOM images and build an ML model
- Batch Inference with Amazon SageMaker and Tensorflow
- Optimizing TensorFlow model serving with Kubernetes and Amazon Elastic Inference
- Power contextual bandits using continual learning with Amazon SageMaker RL
- Speed up training on Amazon SageMaker using Amazon FSx for Lustre and Amazon EFS file systems
- Git integration with Amazon SageMaker
- Build end-to-end machine learning workflows with Amazon SageMaker and Apache Airflow
- Amazon SageMaker automatic model tuning now supports random search and hyperparameter scaling
- Architecting ML with Amazon SageMaker 3 day course
- Classification of chest x-rays with Amazon SageMaker
- Building predictive disease models using Amazon SageMaker with Amazon HealthLake normalized data
- Custom Classifier with Amazon Comprehend
- Amazon Rekognition custom labels
- Applying voice classification in an Amazon Connect telemedicine contact flow
- Building a medical image search platform on AWS
- Custom Classifier with Amazon Comprehend
- Build a custom entity recognizer using Amazon Comprehend
- De-identify medical images with the help of Amazon Comprehend Medical and Amazon Rekognition
- Map clinical notes to the OMOP Common Data Model and healthcare ontologies using Amazon Comprehend Medical
- Population health applications with Amazon HealthLake
- Introduction to Amazon Transcribe
- Introduction to Amazon Comprehend Medical
- Enabling efficient patient care using Amazon AI services
- Population health applications with Amazon HealthLake
- Artificial Intelligence and Machine Learning in Research
- Deep learning for disaster management and response
- End-to-end machine learning using Spark and Amazon SageMaker
- Amazon SageMaker deep dive: A modular solution for machine learning
- Insights into patient health with Amazon Comprehend Medical
- Build accurate training datasets with Amazon SageMaker Ground Truth
- How Amazon Sagemaker can help?
- Deploy Deep Learning AMI on EC2
- SageMaker AutoPilot AutoML
- Tensorflow on SageMaker
- AWS Training & Certification Free Digital Training
- SageMaker Operators for Kubernetes
- EKS Worker Node Drainer
- Everything EKS Workshop
- EKS and Kops Kubernetes Networking
- EKS with Kubeflow
- Apache Spark on EKS
- EKS with Terrform and Kubeflow
- GitOps with Weave Flux on EKS
- Kubernetes workloads on EC2 Spot with EKS
- Deploy Apache Spark jobs on EKS
- Optimizing Distributed Deep Learning Performance on Amazon EKS
- Running Kubernetes Applications on AWS Fargate
- EKS under the hood
- Running Kubernetes at Amazon scale using Amazon EKS
- Building machine-learning infrastructure on Amazon EKS with Kubeflow
- Top 5 container and Kubernetes best practices
- Running Containers in a Hybrid Environment
- Deploy Kubenertes on EKS
- AWS Training & Certification Free Digital Training
- Open Source security tools for AWS
- Introduction to Security
- Security Best Practices
- Protect Data at Rest
- Protect Data in Transit
- SAML with ADFS or Shibboleth
- Threat Detection with SageMaker and GuardDuty
- The fundamentals of AWS cloud security
- Best Practices for Public Sector AWS Security Posture
- Build and operate a smart robot
- AWS RoboMaker Turtlebot
- RISE OF THE MACHINES: BRING ARTIFICIAL INTELLIGENCE TO YOUR ROBOT
- Finding Martians with AWS RoboMaker and the JPL Open Source Rover
- Voice controlled robots
- An introduction to reinforcement learning with AWS RoboMaker
- Deploy Robotic Applications Using AWS RoboMaker
- Innovation in robotics: Insights from NASA JPL and AWS
- Management & Governance Langing Page
- AWS Training & Certification Free Digital Training
- Landing Zone
- Control Tower
- Clouod Development Kit (CDK) Introduction
- CloudFormation 101
- Architecting security & governance across your landing zone
- Deep dive into AWS Cloud Development Kit
- A generalized approach to benchmarking genomics workloads in the cloud
- Using Amazon FSx for Lustre for Genomics Workflows on AWS
- Genomics Secondary Analysis Using AWS Step Functions and AWS Batch
- Hail on AWS
- Genomics Tertiary Analysis and Data Lakes Using AWS Glue and Amazon Athena
- Genomics Tertiary Analysis and Machine Learning Using Amazon SageMaker
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