Gru Collection
Repositories tagged with "gru"
Repositories tagged with "gru"
pytorch-seq2seq
bentrevett
โTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.โ
pytorch-kaldi
mravanelli
โpytorch-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.โ
cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
dalinvip
โIn PyTorch Learing Neural Networks Likes CNNใBiLSTMโ
EEG-DL
SuperBruceJia
โA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.โ
CryptocurrencyPrediction
khuangaf
โPredict Cryptocurrency Price with Deep Learningโ
TrafficFlowPrediction
xiaochus
โTraffic Flow Prediction with Neural Networks(SAEsใLSTMใGRU).โ
load_forecasting
pyaf
โForecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU modelsโ
nmt-keras
lvapeab
โNeural Machine Translation with Keras โ
ConvLSTM-PyTorch
jhhuang96
โConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNISTโ
baiduyun_deeplearning_competition
ypwhs
โ็พๅบฆไบ้ญ ๆๆทฑๅบฆๅญฆไน ๅบ็จๅคง่ตโ
Easy-deep-learning-with-Keras
buomsoo-kim
โKeras tutorial for beginners (using TF backend)โ
Hands-On-Deep-Learning-Algorithms-with-Python
sudharsan13296
โMaster Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlowโ
haste
lmnt-com
โHaste: a fast, simple, and open RNN libraryโ
theano_lstm
JonathanRaiman
โ:microscope: Nano size Theano LSTM moduleโ
CryptoPredictions
alimohammadiamirhossein
โCryptoCurrency prediction using machine learning and deep learningโ
Stock-price-prediction-using-GAN
hungchun-lin
โIn 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.โ
rnn_ctc
rakeshvar
โRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.โ
OpenTextClassification
catqaq
โOpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! ่ฟๅฏ่ฝๆฏ็ฎๅไธบๆญขๆๅ จ้ข็ๅผๆบๆๆฌๅ็ฑป้กน็ฎ๏ผๆฏๆไธญ่ฑๅ่ฏญใๅค็งๆจกๅใๅค็งไปปๅกใโ