Numenta is tackling one of the most important scientific challenges of all time reverse engineering the neocortex we re at the beginning of an era of computing that will unfold over the coming decades and we invite you to learn about how we are helping to advance the state of brain theory and mac
Matlab octave toolbox for deep learning includes deep belief nets stacked autoencoders convolutional neural nets convolutional autoencoders and vanilla neural nets each method has examples to
Java deep learning algorithms and deep neural networks with gpu acceleration git hub ivan vasilev neuralnetworks java deep learning algorithms and deep neural networks with gpu acceleration
Nvidia cu dnn the nvidia cuda deep neural network library cu dnn is a gpu accelerated library of primitives for deep neural networks cu dnn provides highly tuned implementations for standard routines such as forward and backward convolution pooling normalization and activation layers deep learn
Intel nervana reference deep learning framework committed to best performance on all hardware git hub nervana systems neon intel nervana reference deep learning framework committed to best p
Multi layer recurrent neural networks lstm gru rnn for character level language models in torch git hub karpathy char rnn multi layer recurrent neural networks lstm gru rnn for characte
Minerva a fast and flexible tool for deep learning on multi gpu it provides ndarray programming interface just like numpy python bindings and c bindings are both available the resulting code
Lightweight portable flexible distributed mobile deep learning with dynamic mutation aware dataflow dep scheduler for python r julia scala go javascript and more git hub apache incubato
Deep scalable sparse tensor network engine dsstne is an amazon developed library for building deep learning dl machine learning ml models git hub amazon archives amazon dsstne deep scala
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