Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
HasteHaste: a fast, simple, and open RNN library
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Pytorch Kaldipytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
Speech Recognition Neural NetworkThis is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Cikm analyticup 2017CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.
Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Theano Kaldi RnnTHEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
Sudllight deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
Cnn Lstm Bilstm Deepcnn Clstm In PytorchIn PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
Nmt KerasNeural Machine Translation with Keras
Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
ms-convSTAR[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
lmkitlanguage models toolkits with hierarchical softmax setting
dtsA Keras library for multi-step time-series forecasting.
Manhattan-LSTMKeras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
GRU AndroidAn RNN (GRU) TensorFlow Android App for word prediction.
theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
ECGClassifierCNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
ForestCoverChangeDetecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
STAR Network[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
rnn-theanoRNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
TF-NNLM-TKA toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.