Skip to content

Latest commit

 

History

History
20 lines (15 loc) · 380 Bytes

File metadata and controls

20 lines (15 loc) · 380 Bytes

ml

Implementations of various machine learning algorithms.

Contents

  • Linear Regression with custom basis functions
  • Logistic Regression with custom basis functions
  • Shallow (vanilla) neural network classifier
  • Deep neural net classifier, following Hinton's DREDNET recipe

Planned

  • Mixture Density Network
  • Gaussian Process
  • SVM
  • Relevance Vector Machine