|| awesome-rnn | char-rnn | neuraltalk | neural-storyteller | char-rnn-tensorflow | biaxial-rnn-music-composition | Element-Research/rnn | word-rnn-tensorflow | recurrentjs | pytorch-qrnn | rnn-tutorial-rnnlm | crnn | rnnlib | rapping-neural-network | 3D-R2N2 | recurrentshop | Dynamic-Tensorflow-Tutorial | word-rnn | faster-rnnlm | tensorflow-rnn-shakespeare | theano-rnn | ericjang/draw | Multilabel-timeseries-classification-with-LSTM | tensorflow-lstm-regression | textgenrnn | sequence_gan | neuralsnap | reactionrnn | LSTM---Stock-prediction | rcnn | rnn-nlu | seq2seq-signal-prediction | GRU4Rec | keras_snli | rnn_ctc | BayesianRNN | rnn-from-scratch | rnnoise | RNNSharp | SCRNNs | music_rnn | rnn-writer | char-rnn-chinese | sound-rnn | BayesianRecurrentNN | obama-rnn | CRCN | rnnpg | reseg | Recurrent-Convolutional-Neural-Network-Text-Classifier | Siamese-LSTM | crypto-rnn | tlearn-rb | Recurrent-Neural-Networks | deep-summarization | Deep-Lyrics | recnet | tflearn_seq2seq | RNN-for-Joint-NLU | qrnn | Emotion-Recognition-RNN ||
|| deepjazz | torch-rnn | sru | LSTM-Human-Activity-Recognition | tensorflow_poems | DeepNLP-models-Pytorch | tensorflow_with_latest_papers | baidu-research/persistent-rnn | Passage | sketch-rnn | chatbot-rnn | pixel-rnn-tensorflow | facebook/Stack-RNN | awesome-speech-recognition-speech-synthesis-papers | tf-rnn | Seq2Seq-PyTorch | LSTM-Sentiment-Analysis ||
|| Screenshot-to-code-in-Keras | google/seq2seq | farizrahman4u/seq2seq | Conchylicultor/DeepQA | seq2seq-attn | Awesome-Chatbot | neuralconvo | tensorflow-seq2seq-tutorials | kaggle-web-traffic | sockeye | IBM/pytorch-seq2seq | practical_seq2seq | Facebook-Messenger-Bot | seq2seq-chatbot | seq2seq-signal-prediction | tf-seq2seq | chatbot-retrieval | got-book-6 | LSTM-Neural-Network-for-Time-Series-Prediction ||
| pytorch-pretrained-BERT | gpt-2-Pytorch | google-research/bert | bert-as-service | BERT-pytorch || nlp-tutorial | bert_language_understanding | BERT-BiLSTM-CRF-NER ||