Top gru open source projects

Pytorch Seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Rnn ctc

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Haste

Haste: a fast, simple, and open RNN library

Eeg Dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Pytorch Kaldi

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 forecasting

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Speech Recognition Neural Network

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

See Rnn

RNN 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 2017

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 Notebooks

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Theano Kaldi Rnn

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.

Sudl

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

Cnn Lstm Bilstm Deepcnn Clstm In Pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

Nmt Keras

Neural Machine Translation with Keras

Pytorch-POS-Tagger

Part-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

lmkit

language models toolkits with hierarchical softmax setting

dts

A Keras library for multi-step time-series forecasting.

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