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

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/ http://deeplearning.net/software/pylearn2/ * LSTM, http://deeplearning.net/tutorial/lstm.html#lstm http://deeplearning.net/tutorial/lstm.html#lstm * LSTM, https://github.com/skaae/nntools https://github.com/skaae/nntools * LSTM, https://github.com/JonathanRaiman/theano_lstm https://github.com/JonathanRaiman/theano_lstm * LSTM, https://github.com/mohammadpz/Recurrent-Neural-Networks https://github.com/mohammadpz/Recurrent-Neural-Networks * LSTM, http://christianherta.de/lehre/dataScience/machineLearning/neuralNetworks/LSTM.php http://christianherta.de/lehre/dataScience/machineLearning/n... * LSTM, https://gist.github.com/jpuigcerver/9358036 https://gist.github.com/jpuigcerver/9358036 * LSTM + CTC, https://github.com/kastnerkyle/net https://github.com/kastnerkyle/net * Speech modeling, LSTM, https://github.com/kastnerkyle/speech_density https://github.com/kastnerkyle/speech_density * FF + RNN, https://github.com/lmjohns3/theano-nets https://github.com/lmjohns3/theano-nets * FF + RNN, https://github.com/lmjohns3/theanets https://github.com/lmjohns3/theanets Speech: https://github.com/lmjohns3/arrnn-experiment/blob/master/tasks/speech.py https://github.com/lmjohns3/arrnn-experiment/blob/master/tas... * FF, https://github.com/benanne/Lasagne https://github.com/benanne/Lasagne * RNN, https://github.com/pascanur/trainingRNNs https://github.com/pascanur/trainingRNNs * RNN, https://github.com/pascanur/GroundHog https://github.com/pascanur/GroundHog (Razvan Pascanu, KyungHyun Cho, Caglar Gulcehre) * RNN + CTC, https://github.com/shawntan/rnn-experiment https://github.com/shawntan/rnn-experiment (Shawn Tan) * RNN + CTC, https://github.com/shawntan/theano-ctc https://github.com/shawntan/theano-ctc (Shawn Tan) * RNN + CTC, https://github.com/rakeshvar/rnn_ctc https://github.com/rakeshvar/rnn_ctc * RNN + CTC, OCR, https://github.com/rakeshvar/chamanti_ocr https://github.com/rakeshvar/chamanti_ocr, https://github.com/rakeshvar/chamanti3_ocr https://github.com/rakeshvar/chamanti3_ocr * RNN, https://github.com/gwtaylor/theano-rnn https://github.com/gwtaylor/theano-rnn * LSTM, RBM, DBN, https://github.com/kratarth1203/NeuralNet https://github.com/kratarth1203/NeuralNet * RBM, https://github.com/benanne/morb https://github.com/benanne/morb * Q-learning, https://github.com/spragunr/deep_q_rl https://github.com/spragunr/deep_q_rl * Deep Generative Models, https://github.com/dpkingma/nips14-ssl https://github.com/dpkingma/nips14-ssl * RNN, agents, “bricks”: https://github.com/bartvm/blocks https://github.com/bartvm/blocks * NTM, https://github.com/shawntan/neural-turing-machines/ https://github.com/shawntan/neural-turing-machines/ * RL + CNN, https://github.com/brian473/neural_rl https://github.com/brian473/neural_rl * DRAW RNN, https://github.com/jbornschein/draw 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).