Top 51 gru open source projects

Trafficflowprediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Rnn ctc
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
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.
Skip Thoughts.torch
Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
Hierarchical Attention Network
Implementation of Hierarchical Attention Networks in PyTorch
Rnn Text Classification Tf
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
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.
Tensorflow Lstm Sin
TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Rnn Notebooks
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Tensorflow Sentiment Analysis On Amazon Reviews Data
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
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
Hands On Deep Learning Algorithms With Python
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
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
NoiseReductionUsingGRU
This is my graduation project in BIT. Title: Noise Reduction Using GRU.
myDL
Deep Learning
GRU Android
An RNN (GRU) TensorFlow Android App for word prediction.
LSTM-GRU-from-scratch
LSTM, GRU cell implementation from scratch in tensorflow
theano-recurrence
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
ECGClassifier
CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
LearningMetersPoems
Official 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
Hierarchical-attention-network
My implementation of "Hierarchical Attention Networks for Document Classification" in Keras
tf-ran-cell
Recurrent Additive Networks for Tensorflow
STAR Network
[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
rnn-theano
RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
TF-NNLM-TK
A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.
1-51 of 51 gru projects