Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Haste: a fast, simple, and open RNN library
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
pytorch-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 forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
CIKM 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(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
THEANO-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.
light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
Neural Machine Translation with Keras
Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
language models toolkits with hierarchical softmax setting
A Keras library for multi-step time-series forecasting.
Read more here: Source link