Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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Updated
Jun 7, 2024 - Jupyter Notebook
Amazon Web Services (AWS) is a subsidiary of Amazon.com that provides on-demand cloud computing platforms to individuals, companies, and governments, on a subscription basis. Compute, storage, database, networking, security, management & developer tools, AI & machine learning, analytics, etc. are some of the primary aspects of AWS.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
My Second Brain for Computer Science related stuff. Zero bullshit, short and sweet.
A list of open datasets on AWS
A list of open geospatial datasets on AWS
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
A comprehensive web application designed to interact with a protein database. It includes functionalities for creating, reading, updating, and deleting protein data, as well as advanced features like an AI chatbot for SQL query generation and visualizations using Three.js.
documentation in code snippets
BizTrackPro
A python script for list all of the regions and their availability zones in AWS and your opt-in status.
Publishes the seawater levels from https://www.kartverket.no/ as custom devices on hello.nrfcloud.com/map
A reference implementation of a serverless backend for an IoT product developed using AWS CDK in TypeScript.
Helper functions which simplify working with AWS CloudFormation stacks
Helper functions for creating device certificates.
Memfault integration for AWS IoT developed using AWS CDK in TypeScript.
Cloud backend for hello.nrfcloud.com developed using AWS CDK in TypeScript
CSI Driver for Amazon EFS https://aws.amazon.com/efs/
Released March 2006