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