davidrsch/kerasnip
A bridge between the keras and tidymodels frameworks
This project helps R users who work with machine learning models. It bridges the gap between Keras and tidymodels, allowing you to define complex neural network architectures using Keras and then seamlessly integrate them into tidymodels workflows for tasks like model training, evaluation, and hyperparameter tuning. You provide Keras layer definitions, and the project outputs a tidymodels-compatible model specification.
Use this if you are an R user building deep learning models and want to leverage the flexibility of Keras for defining neural network architectures while benefiting from the structured workflow and tools provided by the tidymodels framework.
Not ideal if you primarily work outside of the R ecosystem or if your deep learning tasks don't require the integrated workflow benefits of tidymodels.
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R
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Last pushed
Dec 09, 2025
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