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archive's Introduction

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

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