gru

There are 5 repositories under gru topic.

bentrevett / pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
attention cnn-seq2seq encoder-decoder encoder-decoder-model gru lstm neural-machine-translation pytorch pytorch-implementation pytorch-implmention pytorch-nlp pytorch-seq2seq pytorch-tutorial pytorch-tutorials rnn seq2seq sequence-to-sequence torchtext transformer tutorial
Language:Jupyter Notebook 5639
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.
speech-recognition gru dnn kaldi rnn-model pytorch timit deep-learning deep-neural-networks recurrent-neural-networks multilayer-perceptron-network lstm lstm-neural-networks speech asr rnn dnn-hmm
Language:Python 2395
dalinvip / cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
cnn-bilstm cnn-model gru highway-cnn lstm-model model-bilstm pytorch torchtext
Language:Python 1413
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 1105
khuangaf / CryptocurrencyPrediction
Predict Cryptocurrency Price with Deep Learning
deep-learning machine-learning cryptocurrency bitcoin cnn lstm gru sklearn final-year-project
Language:Jupyter Notebook 1004
xiaochus / TrafficFlowPrediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
traffic-flow-prediction lstm gru saes
Language:Python 654
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 592
lvapeab / nmt-keras
Neural Machine Translation with Keras
neural-machine-translation keras deep-learning sequence-to-sequence theano machine-learning nmt machine-translation lstm-networks gru tensorflow attention-mechanism web-demo transformer attention-is-all-you-need attention-model attention-seq2seq
Language:Python 530
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 426
ypwhs / baiduyun_deeplearning_competition
百度云魅族深度学习应用大赛
gru ctc-loss ocr deep-learning keras captcha jupyter-notebook
Language:Jupyter Notebook 426
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
sudharsan13296 / Hands-On-Deep-Learning-Algorithms-with-Python
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
adagrad autoencoder capsule-network cnn-math contractive-autonencoders cyclegan deep-learning-math deep-learning-mathematics deep-learning-scratch doc2vec few-shot-learning gans gru lstm-math nadam quick-thought rnn-derivation skip-thoughts tensorflow word-embeddings
Language:Jupyter Notebook 355
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++ 333
JonathanRaiman / theano_lstm
:microscope: Nano size Theano LSTM module
machine-learning recurrent-networks theano python lstm gru adadelta dropout automatic-differentiation neural-network tutorial
Language:Python 303
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 265
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 240
rakeshvar / rnn_ctc
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
captcha ctc ctc-loss deep-learning gru lstm neural-network ocr python recurrent-neural-networks rnn rnn-ctc speech-recognition speech-to-text theano
Language:Python 221
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 208
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 201
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 recurrent-neural-networks speech-recognition deep-learning gru lstm-neural-networks
Language:HTML 189
albertogaspar / dts
A Keras library for multi-step time-series forecasting.
deep-learning time-series recurrent-neural-networks temporal-convolutional-network seq2seq lstm gru time-series-forecasting multi-step-ahead-forecasting
Language:Python 185
OverLordGoldDragon / see-rnn
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
rnn tensorflow keras visualization deep-learning lstm gru
Language:Python 181
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 170
happyjin / ConvGRU-pytorch
Convolutional GRU
convolutional-gru gru convgru
Language:Python 164
keishinkickback / Pytorch-RNN-text-classification
Word Embedding + LSTM + FC
pytorch rnn lstm gru text-classification word-embedding glove
Language:Python 160
MarcoMeter / recurrent-ppo-truncated-bptt
Baseline implementation of recurrent PPO using truncated BPTT
actor-critic bptt deep-learning deep-reinforcement-learning gru lstm on-policy policy-gradient pomdp ppo proximal-policy-optimization pytorch recurrence recurrent recurrent-neural-networks truncated
Language:Jupyter Notebook 155
Cadene / skip-thoughts.torch
Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
skip-thoughts pretrained-models torch gru rnn word2vec
Language:Python 148
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 129
ritikdhame / Electricity_Demand_and_Price_forecasting
Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction
cnn cnn-lstm gru lstm lstm-attention xgboost-regression
Language:Jupyter Notebook 120
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
Alireza-Akhavan / rnn-notebooks
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
rnn gru lstm deep-learning tensorflow2 keras jupyter-notebook
Language:Jupyter Notebook 112
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 pytorch python3 sklearn
Language:Python 108
ChickenBenny / Stock-prediction-with-GAN-and-WGAN
stock prediction with GAN and WGAN
gan gru stock-price-prediction wgan pytorch
Language:Jupyter Notebook 105
MarcoMeter / endless-memory-gym
Challenging Memory-based Deep Reinforcement Learning Agents
benchmark deep-reinforcement-learning gru gtrxl gym-environment imperfect-information lstm pomdp recurrence transformer transformer-xl trxl
Language:Python 104
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 101
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 93

gru

bentrevett / pytorch-seq2seq

mravanelli / pytorch-kaldi

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

SuperBruceJia / EEG-DL

khuangaf / CryptocurrencyPrediction

xiaochus / TrafficFlowPrediction

pyaf / load_forecasting

lvapeab / nmt-keras

jhhuang96 / ConvLSTM-PyTorch

ypwhs / baiduyun_deeplearning_competition

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

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

lmnt-com / haste

JonathanRaiman / theano_lstm

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

alimohammadiamirhossein / CryptoPredictions

rakeshvar / rnn_ctc

catqaq / OpenTextClassification

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

lucko515 / speech-recognition-neural-network

albertogaspar / dts

OverLordGoldDragon / see-rnn

AFAgarap / gru-svm

happyjin / ConvGRU-pytorch

keishinkickback / Pytorch-RNN-text-classification

MarcoMeter / recurrent-ppo-truncated-bptt

Cadene / skip-thoughts.torch

pandeykartikey / Hierarchical-Attention-Network

ritikdhame / Electricity_Demand_and_Price_forecasting

roomylee / rnn-text-classification-tf

Alireza-Akhavan / rnn-notebooks

slydg / GRU_to_predict_timeseries

ChickenBenny / Stock-prediction-with-GAN-and-WGAN

MarcoMeter / endless-memory-gym

timothyyu / gdax-orderbook-ml

dudeperf3ct / DL_Notebooks