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deep-learning-recipes

Project Status: Active – The project has reached a stable, usable state and is being actively developed. License: MIT

R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow).

Principles: clean, self-contained, minimal dependency, works with the latest framework versions.

Contents

  • Triplet losses for implicit feedback recommender systems. [blog post] [code]
  • Matrix factorization for binary implicit feedback data. [blog post] [code]
  • "Wide and deep" model for regression/classification. [blog post] [code]

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🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)

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