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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...
A framework to simply understandable control flows in applications. It is easy to manage flow by XML and annotations. There are many simple ways to catch actions such as transition, step entry or leaving, including control the decision similar to 'if' or 'switch' statements.
jFuzzyLogic is a java implementation of a Fuzzy Logic software package. It implements a complete Fuzzy inference system (FIS) as well as Fuzzy Control Logic compliance (FCL) according to IEC 61131-7 (formerly 1131-7).
The goal of Keen Manager is to design a simple and highly expandable controlpanel system for use by end-users and developers. It is also meant for having a multi-user authentication system in which each controlpanel can have it's own privilege system.
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