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Showing 2 open source projects for "panel"
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ML++
A library created to revitalize C++ as a machine learning front end
...Call the optimizer that you would like to use. For iterative optimizers such as gradient descent, include the learning rate, epoch number, and whether or not to utilize the UI panel. -
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AI-Blocks
A powerful and intuitive WYSIWYG to create Machine Learning models
...The model can be run directly on the editor or be exported to a standalone script that runs on Tensorflow. Variables are parsed from python scripts and can be edited from the AI-Blocs properties panel. To run your model simply press the "Play" button and let the magic happen! The project requires Python and Tensorflow to run projects. You can still create and edit projects without these dependencies. To run AI-Blocs, download the project archive and launch AI-Blocs.exe.
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