Machine Learning - Collection of my personal user machine learning libraries/experiments
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README.md

ML

Collection of all my Machine Learning libraries in one repository.

This is a work-in-action as many of the libraries were written years ago. The goal will be to refactor and unify common classes as well as provide more documentation

Supports:

  • Linear Gradient Descent
  • Back-Error Propagation Neural Network
  • Bayesian filters
  • Clustering algorithms
  • Decision Tree
  • Markov Chains
  • Natural Language Processing (very limited)
  • Prefix-Trie
  • Random Forest
  • Regression (Linear, NonLinear Local)
  • Restricted Boltzmann Machine (single, deep, convoluted, multi-threaded)
  • Self-Organizing Map
  • Support Vector Machine

TODO:

  • add genetic programming libs
  • add dynamic programming libs