Evolutionary algorithm demonstrating simple 2-dimensional spatial optimization written in Java
-
Updated
Jul 25, 2010 - Java
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Evolutionary algorithm demonstrating simple 2-dimensional spatial optimization written in Java
Machine Learning Classification Suite - Implements several machine learning algorithms for classification, accepts input files in .arff format. Implemented in Python.
This collection of utilities that complements LIBSVM provides tools to convert ARFF file to SVM file format, shuffling, remapping, and distributed grid searching across multiple computers for support vector machine training.
Q Learning Machine Learning Algorithm in Python
Machine Learning - Real time object recognition in videos
Example code on NSLinguisticTagger
Training different types of Artificial Neural Networks in the game of Connect Four.
A translation of Kendrick's MATLAB statistics class materials into Python
Efficient online variational Bayesian inference algorithms for common machine learning tasks. Includes mixture models (like GMMs) and admixture models (like LDA). Implemented in Python.
TF/IDF based keyword extractor using ternary search tree.
2D Soccer Machine Learning Keepaway Platform
Extreme Learning Machine implementation in Python
Numeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda
Reinforcement learner (using PyBrain) that plays Bejeweled
yet another machine learning toolkit.
Implementations from a graduate course following "Pattern Recognition and Machine Learning) written by Bishop and published in 2006.
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial