Implementations of various machine learning algorithms.
- 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
- Mixture Density Network
- Gaussian Process
- SVM
- Relevance Vector Machine