This is a repository containing several state-of-the-art methods in the field of Neural Networks. Inspired by scikit-learn style - http://scikit-learn.org/stable/modules/, the code files are easy-to-use and flexible to different datasets. Each folder hosts one algorithm with an example file demonstraing its usage.

Current available algorithms,

• Multi-layer Perceptron

• Sparse Auto-enoders

• Extreme Learning Machines

• Deep Belief Network

• Convolutional Neural Network (in draft mode)

More will be uploaded soon!