antoniointrieri / kotlin-machine-learning-demos

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Showcases of Different ML Algorithms

Using Background Color Classification

This is a Kotlin application that experiments with different machine learning algorithms to recommend a light/dark font against different background colors.

Some algorithms are built completely from scratch but others are showcased using a library.

The current algorithms/library implementations:

  • Formulaic
  • Linear regression (w/ hill climbing)
  • Logistic regression (w/ hill climbing)
  • Decision Tree
  • Random Forest
  • Neural Network (w/ hill climbing)
  • Neural Network (w/ simulated annealing)
  • OjAlgo Neural Network
  • DL4J Neural Network

Planned to be added:

  • Linear regression (w/ gradient descent)
  • Logistic regression (w/ gradient descent)
  • Continuous Naive Bayes

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