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Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies...
TextUML Toolkit is an IDE for UML that lets you create models at the same speed you write code by using a textual notation instead of the conventional graphical one.
This project is now hosted on github. https://abstratt.github.io/textuml
The Gateways Team of the Live-Virtual-Constructive Architecture Roadmap Implementation (LVCAR-I) effort is developing a set of tools that will support the gateway community. One of these tools is the Simulation Data Exchange Model (SDEM) Mapping Language (SML) Editor. The tool provides the ability to import two SDEMs in their native language and subsequently view the entities that need to be mapped between the two SDEMs. The SDEM Editor also allows the user to create these mappings and...
This is a collection of tools and a code library to assist engineers who are developing SystemVerilog based verification environments. Components include utility libraries, scoreboard and shutdown manager implementation, register tool, etc.
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