gru

There are 4 repositories under gru topic.

bentrevett / pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
pytorch seq2seq sequence-to-sequence tutorial rnn gru lstm torchtext pytorch-tutorial pytorch-implmention encoder-decoder encoder-decoder-model neural-machine-translation pytorch-seq2seq attention transformer cnn-seq2seq pytorch-implementation pytorch-tutorials pytorch-nlp
Language:Jupyter Notebook 5145
pytorch-kaldi
mravanelli / 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.
asr deep-learning deep-neural-networks dnn dnn-hmm gru kaldi lstm lstm-neural-networks multilayer-perceptron-network pytorch recurrent-neural-networks rnn rnn-model speech speech-recognition timit
Language:Python 2350
dalinvip / cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
cnn-model cnn-bilstm lstm-model gru model-bilstm highway-cnn pytorch torchtext
Language:Python 1167
SuperBruceJia / EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
deep-learning eeg-classification eeg-signals-processing tensorflow motor-imagery-classification eeg-data cnn rnn gcn one-shot-learning residual-learning densenet resnet graph-convolutional-neural-networks lstm gru attention-mechanism fully-convolutional-networks transformer transformers
Language:Python 850
khuangaf / CryptocurrencyPrediction
Predict Cryptocurrency Price with Deep Learning
deep-learning machine-learning cryptocurrency bitcoin cnn lstm gru sklearn final-year-project
Language:Jupyter Notebook 800
lvapeab / nmt-keras
Neural Machine Translation with Keras
attention-is-all-you-need attention-mechanism attention-model attention-seq2seq deep-learning gru keras lstm-networks machine-learning machine-translation neural-machine-translation nmt sequence-to-sequence tensorflow theano transformer web-demo
Language:Python 533
xiaochus / TrafficFlowPrediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
traffic-flow-prediction lstm gru saes
Language:Python 494
load_forecasting
pyaf / load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
machine-learning rnn lstm gru arima wma ses sma electric-load-forecasting time-series-forecasting
Language:Jupyter Notebook 460
ypwhs / baiduyun_deeplearning_competition
百度云魅族深度学习应用大赛
captcha ctc-loss deep-learning gru jupyter-notebook keras ocr
Language:Jupyter Notebook 418
buomsoo-kim / Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)
rnn gru lstm deep-learning deep-neural-networks neural-network neural-networks convolutional-neural-networks convolutional-networks convolutional-neural-network
Language:Jupyter Notebook 409
jhhuang96 / ConvLSTM-PyTorch
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
convlstm convgru time-series spatio-temporal pytorch-implementation lstm gru rnn encoder-decoder
Language:Python 350
sudharsan13296 / Hands-On-Deep-Learning-Algorithms-with-Python
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
deep-learning-mathematics deep-learning-math deep-learning-scratch gans cyclegan adagrad autoencoder capsule-network nadam word-embeddings skip-thoughts quick-thought doc2vec gru lstm-math cnn-math rnn-derivation contractive-autonencoders tensorflow few-shot-learning
Language:Jupyter Notebook 321
haste
lmnt-com / haste
Haste: a fast, simple, and open RNN library
deep-learning machine-learning pytorch tensorflow api python cpp algorithm rnn lstm gru cuda rnn-implementations rnn-layers
Language:C++ 311
JonathanRaiman / theano_lstm
:microscope: Nano size Theano LSTM module
adadelta automatic-differentiation dropout gru lstm machine-learning neural-network python recurrent-networks theano tutorial
Language:Python 304
rakeshvar / rnn_ctc
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
recurrent-neural-networks python theano ctc rnn rnn-ctc ctc-loss neural-network ocr speech-recognition speech-to-text lstm gru captcha deep-learning
Language:Python 220
hungchun-lin / Stock-price-prediction-using-GAN
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
stock-prediction gan lstm gru python
Language:Jupyter Notebook 191
lucko515 / 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.
aind deep-learning gru lstm-neural-networks recurrent-neural-networks speech-recognition
Language:HTML 183
OverLordGoldDragon / see-rnn
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
deep-learning gru keras lstm rnn tensorflow visualization
Language:Python 175
catqaq / OpenTextClassification
OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。
text-classification torchtext pytorch lstm gru textcnn bert dpcnn ernie naive-bayes svm textrnn transformers multi-label-classification bert-text-classification chinese-text-classification
Language:Python 174
albertogaspar / dts
A Keras library for multi-step time-series forecasting.
deep-learning gru lstm multi-step-ahead-forecasting recurrent-neural-networks seq2seq temporal-convolutional-network time-series time-series-forecasting
Language:Python 173
keishinkickback / Pytorch-RNN-text-classification
Word Embedding + LSTM + FC
glove gru lstm pytorch rnn text-classification word-embedding
Language:Python 153
Cadene / skip-thoughts.torch
Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
gru pretrained-models rnn skip-thoughts torch word2vec
Language:Python 150
happyjin / ConvGRU-pytorch
Convolutional GRU
convolutional-gru gru convgru
Language:Python 150
AFAgarap / gru-svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
tensorflow rnn-tensorflow svm-classifier intrusion-detection recurrent-neural-networks gru support-vector-machine softmax classification svm classification-task rnn supervised-learning artificial-neural-networks artificial-intelligence machine-learning gru-svm gru-model
Language:Python 144
THINK989 / Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN
real-time-prediction rainbow-dqn stock-price-forecasting lstm gru ensemble keras trade-bot tensorflow
Language:Python 139
pandeykartikey / Hierarchical-Attention-Network
Implementation of Hierarchical Attention Networks in PyTorch
pytorch deep-learning nlp document-classification gru word2vec hierarchical-attention-networks glove
Language:Jupyter Notebook 130
roomylee / rnn-text-classification-tf
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
recurrent-neural-networks tensorflow deep-learning text-classification sentiment-analysis lstm gru
Language:Python 118
alimohammadiamirhossein / CryptoPredictions
CryptoCurrency prediction using machine learning and deep learning
bitcoin bitcoin-price-prediction cryptocurrency cryptocurrency-prediction orbit technical-analysis trading-bot trading-systems lstm prophet arima gru random-forest sarimax xgboost
Language:Python 101
MarcoMeter / recurrent-ppo-truncated-bptt
Baseline implementation of recurrent PPO using truncated BPTT
pytorch deep-reinforcement-learning ppo recurrent-neural-networks recurrence lstm gru truncated bptt deep-learning recurrent proximal-policy-optimization on-policy policy-gradient pomdp actor-critic
Language:Jupyter Notebook 100
timothyyu / gdax-orderbook-ml
Application of machine learning to the Coinbase (GDAX) orderbook
gdax keras tensorflow machine-learning bitcoin lstm gru orderbook trading candlesticks quantitative-finance quantitative-trading recurrent-neural-networks deep-neural-networks cuda coinbase coinbase-pro coinbasepro orderbook-snapshots
Language:Jupyter Notebook 91
Alireza-Akhavan / rnn-notebooks
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
deep-learning gru jupyter-notebook keras lstm rnn tensorflow2
Language:Jupyter Notebook 90
slydg / GRU_to_predict_timeseries
使用pytorch搭建的循环神经网络在股票数据时间序列上的应用
gru python3 pytorch sklearn
Language:Python 87
dudeperf3ct / DL_Notebooks
This repo contains all the notebooks mentioned in blog.
mlp cnn deep-learning keras-tutorials pytorch-tutorials fastai-tutorials tensorflow-tutorials transfer-learning style-transfer object-detection cnn-visualization char-rnn lstm gru federated-learning transfer-learning-nlp elmo bert gpt-2 allennlp
Language:Jupyter Notebook 84
michaelholmes4 / NNComp
Real-time recurrent neural networks for audio plugins
ai audio gru lstm plugin pytorch rnn
Language:C++ 82
zxth93 / 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.
radar-maps xgboost gru rainfall cikm tianchi
Language:Python 79
dave-fernandes / ECGClassifier
CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
tensorflow bayesian-network deep-learning neural-network time-series swift cnn rnn gru
Language:Jupyter Notebook 72

gru

bentrevett / pytorch-seq2seq

mravanelli / pytorch-kaldi

dalinvip / cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

SuperBruceJia / EEG-DL

khuangaf / CryptocurrencyPrediction

lvapeab / nmt-keras

xiaochus / TrafficFlowPrediction

pyaf / load_forecasting

ypwhs / baiduyun_deeplearning_competition

buomsoo-kim / Easy-deep-learning-with-Keras

jhhuang96 / ConvLSTM-PyTorch

sudharsan13296 / Hands-On-Deep-Learning-Algorithms-with-Python

lmnt-com / haste

JonathanRaiman / theano_lstm

rakeshvar / rnn_ctc

hungchun-lin / Stock-price-prediction-using-GAN

lucko515 / speech-recognition-neural-network

OverLordGoldDragon / see-rnn

catqaq / OpenTextClassification

albertogaspar / dts

keishinkickback / Pytorch-RNN-text-classification

Cadene / skip-thoughts.torch

happyjin / ConvGRU-pytorch

AFAgarap / gru-svm

THINK989 / Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN

pandeykartikey / Hierarchical-Attention-Network

roomylee / rnn-text-classification-tf

alimohammadiamirhossein / CryptoPredictions

MarcoMeter / recurrent-ppo-truncated-bptt

timothyyu / gdax-orderbook-ml

Alireza-Akhavan / rnn-notebooks

slydg / GRU_to_predict_timeseries

dudeperf3ct / DL_Notebooks

michaelholmes4 / NNComp

zxth93 / CIKM_AnalytiCup_2017

dave-fernandes / ECGClassifier