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