haoshuji/mxnet
efficient, flexible, distributed deep learning framework
R functions for fitting latent factor models with internal computation in C/C++
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efficient, flexible, distributed deep learning framework
Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
Caffe: a fast open framework for deep learning.
Probabilistic Modeling Toolkit for Matlab/Octave.