Julia tools for feeding tabular data into machine learning.

Baseline collective classification library

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A julia binding to the C++ discrete approximate inference library for graphical models: libDAI

Base framework library for machine learning packages.

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Gradient based Machine Learning for Julia

Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.

Textbook implementations of some Machine Learning Algorithms in Julia.

Experimental automated machine learning for Julia.

Confidence weighted classifier

Julia code for Kaggle's Digit Recognizer competition

Allow use of Theano for automatic differentiation within Mocha, via PyCall

Slow Feature Analysis in Julia