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Name: celimaws
Type: User
Company: Amazon Web Services
Name: celimaws
Type: User
Company: Amazon Web Services
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A set of Jupyter notebooks that describes different phases of an Intelligent Document Processing with AWS AI Services
Hands-on labs for Amazon EKS
The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. The solution automatically produces forecasts and generates visualization dashboards for Amazon QuickSight or Amazon SageMaker Jupyter Notebooks—providing a quick, easy, drag-and-drop interface that displays time series input and forecasted output.
Hands-on demonstrations for data scientists exploring Amazon SageMaker
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.