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A MATLAB/Octave toolbox for deep learning with implementations of neural networks, deep belief nets, autoencoders, and convolutional networks.
A Python toolbox using deep belief networks for topic modeling on document data, producing latent representations for content-based recommendation.
A deep belief net and deep learning implementation written in F# with GPU acceleration via Alea.cuBase.
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