Archive

Overview

This repository is my machine learning toolbox. It contains models that I have created from scratch.

Models

Dimensionality Reduction,

• MDS.py – Multidimensional Scaling
• PCA.py – Principal Component Analysis
• isomap.py - isomap

Neural Networks,

• Hopfield.py – Hopfield Network
• RBF.py – Radial Basis Function Network
• RBM.py – Restricted Boltzmann Machine
• SLP.py – Single Layer Perceptron
• MLP.py – Multilayer Perceptron

Machine Learning,

• SVM.py – Support Vector Machine
• ransac.py - Random Sample Consensus
• knn.py - K-Nearest Neighbor Classifer
• kmeans.py - K-Means Clustering