ALalbertzeyer·Mar 29, 2015
I know some more. Some of them are made as libraries, some are just code examples, where you however could extract out some relevant code.
* PyLearn, LISA labs, http://deeplearning.net/software/pylearn2/
* LSTM, http://deeplearning.net/tutorial/lstm.html#lstm
* LSTM, https://github.com/skaae/nntools
* LSTM, https://github.com/JonathanRaiman/theano_lstm
* LSTM, https://github.com/mohammadpz/Recurrent-Neural-Networks
* LSTM, http://christianherta.de/lehre/dataScience/machineLearning/n...
* LSTM, https://gist.github.com/jpuigcerver/9358036
* LSTM + CTC, https://github.com/kastnerkyle/net
* Speech modeling, LSTM, https://github.com/kastnerkyle/speech_density
* FF + RNN, https://github.com/lmjohns3/theano-nets
* FF + RNN, https://github.com/lmjohns3/theanets
Speech: https://github.com/lmjohns3/arrnn-experiment/blob/master/tas...
* FF, https://
Read the rest
github.com/benanne/Lasagne
* RNN, https://github.com/pascanur/trainingRNNs
* RNN, https://github.com/pascanur/GroundHog (Razvan Pascanu, KyungHyun Cho, Caglar Gulcehre)
* RNN + CTC, https://github.com/shawntan/rnn-experiment (Shawn Tan)
* RNN + CTC, https://github.com/shawntan/theano-ctc (Shawn Tan)
* RNN + CTC, https://github.com/rakeshvar/rnn_ctc
* RNN + CTC, OCR, https://github.com/rakeshvar/chamanti_ocr, https://github.com/rakeshvar/chamanti3_ocr
* RNN, https://github.com/gwtaylor/theano-rnn
* LSTM, RBM, DBN, https://github.com/kratarth1203/NeuralNet
* RBM, https://github.com/benanne/morb
* Q-learning, https://github.com/spragunr/deep_q_rl
* Deep Generative Models, https://github.com/dpkingma/nips14-ssl
* RNN, agents, “bricks”: https://github.com/bartvm/blocks
* NTM, https://github.com/shawntan/neural-turing-machines/
* RL + CNN, https://github.com/brian473/neural_rl
* DRAW RNN, https://github.com/jbornschein/draw
And this is far from complete, there are countless more examples. Just search on GitHub. I just filtered out the ones which interest me (which at least have RNNs/LSTMs or some other interesting things).