Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Recurrent Neural Network library for Torch7's nn
Recurrent Neural Network - A curated list of resources dedicated to RNN
Recurrent neural network for audio noise reduction
翻译 - 递归神经网络可降低音频噪声
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
CNN-RNN中文文本分类,基于TensorFlow
WaveRNN Vocoder + TTS
翻译 - WaveRNN声码器+ TTS
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
翻译 - 使用Tensorflow在Python中使用字符级语言模型的多层递归神经网络(LSTM,RNN)
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Efficient, reusable RNNs and LSTMs for torch
sliced-rnn
cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU),.....
karpathy's char-rnn (https://github.com/karpathy/char-rnn) implementation by Chainer
Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia
CRF-RNN Keras/Tensorflow version
RNN Tutorial for Artists
Implementation of C-RNN-GAN.
Char-RNN implemented using TensorFlow.
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
Multi-language Char RNN for TensorFlow >= 1.2.
Keras implementation of Sketch RNN
Inference Code for Polygon-RNN++ (CVPR 2018)
cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+r...
An RNN-based Chinese Poem Generator