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bentrevett / pytorch-seq2seq

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

tutorial pytorch transformer lstm gru rnn seq2seq attention neural-machine-translation sequence-to-sequence encoder-decoder pytorch-tutorial pytorch-tutorials encoder-decoder-model pytorch-implmention pytorch-nlp torchtext pytorch-implementation pytorch-seq2seq cnn-seq2seq

Updated Aug 4, 2021
Jupyter Notebook

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.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm

Updated Mar 14, 2022
Python

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

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

pytorch gru lstm-model highway-cnn cnn-model cnn-bilstm model-bilstm torchtext

Updated Apr 23, 2019
Python

khuangaf / CryptocurrencyPrediction

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Predict Cryptocurrency Price with Deep Learning

machine-learning deep-learning bitcoin sklearn cnn cryptocurrency lstm gru final-year-project

Updated Oct 1, 2020
Jupyter Notebook

lvapeab / nmt-keras

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Neural Machine Translation with Keras

machine-learning theano deep-learning tensorflow machine-translation keras decoding transformer gru neural-machine-translation sequence-to-sequence score nmt newer attention-mechanism web-demo attention-model lstm-networks attention-is-all-you-need attention-seq2seq nmt-keras

Updated Jul 30, 2021
Python

ypwhs / baiduyun_deeplearning_competition

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百度云魅族深度学习应用大赛

ocr deep-learning captcha keras jupyter-notebook gru ctc-loss

Updated Feb 25, 2022
Jupyter Notebook

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

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Keras tutorial for beginners (using TF backend)

deep-neural-networks deep-learning neural-network lstm gru neural-networks rnn convolutional-networks convolutional-neural-networks convolutional-neural-network

Updated Nov 14, 2020
Jupyter Notebook

SuperBruceJia / EEG-DL

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

deep-learning tensorflow transformers cnn transformer lstm gru rnn densenet resnet eeg-data one-shot-learning attention-mechanism motor-imagery-classification residual-learning fully-convolutional-networks gcn eeg-classification eeg-signals-processing graph-convolutional-neural-networks

Updated Feb 17, 2022
Python

xiaochus / TrafficFlowPrediction

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Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

lstm gru traffic-flow-prediction saes

Updated Mar 21, 2018
Python

JonathanRaiman / theano_lstm

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🔬 Nano size Theano LSTM module

python machine-learning tutorial theano neural-network automatic-differentiation recurrent-networks lstm gru adadelta dropout

Updated Nov 16, 2016
Python

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

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Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

tensorflow word-embeddings gru autoencoder gans doc2vec skip-thoughts adagrad cyclegan deep-learning-mathematics capsule-network few-shot-learning quick-thought deep-learning-scratch nadam deep-learning-math lstm-math cnn-math rnn-derivation contractive-autonencoders

Updated Oct 2, 2020
Jupyter Notebook

pyaf / load_forecasting

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Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

machine-learning ses lstm gru rnn arima wma sma time-series-forecasting electric-load-forecasting

Updated Feb 11, 2022
Jupyter Notebook

lmnt-com / haste

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Haste: a fast, simple, and open RNN library

python api machine-learning algorithm deep-learning cpp tensorflow cuda pytorch lstm gru rnn rnn-layers rnn-implementations

Updated Jan 15, 2022
C++

rakeshvar / rnn_ctc

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

Updated Jul 26, 2016
Python

jhhuang96 / ConvLSTM-PyTorch

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ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

time-series lstm gru rnn spatio-temporal encoder-decoder convlstm convgru pytorch-implementation

Updated Apr 4, 2020
Python

lucko515 / speech-recognition-neural-network

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

deep-learning recurrent-neural-networks gru speech-recognition aind lstm-neural-networks

Updated Aug 15, 2017
HTML

Cadene / skip-thoughts.torch

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Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

word2vec torch gru rnn pretrained-models skip-thoughts

Updated Jul 20, 2019
Python

OverLordGoldDragon / see-rnn

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RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

visualization deep-learning tensorflow keras lstm gru rnn

Updated Mar 20, 2022
Python

albertogaspar / dts

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

deep-learning time-series recurrent-neural-networks lstm gru seq2seq time-series-forecasting multi-step-ahead-forecasting temporal-convolutional-network

Updated Apr 6, 2020
Python

pandeykartikey / Hierarchical-Attention-Network

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Implementation of Hierarchical Attention Networks in PyTorch

nlp deep-learning word2vec pytorch gru document-classification glove hierarchical-attention-networks

Updated Oct 22, 2018
Jupyter Notebook

keishinkickback / Pytorch-RNN-text-classification

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Word Embedding + LSTM + FC

text-classification pytorch lstm gru rnn glove word-embedding

Updated Jul 9, 2019
Python

roomylee / rnn-text-classification-tf

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Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

deep-learning sentiment-analysis text-classification tensorflow recurrent-neural-networks lstm gru

Updated May 8, 2018
Python

AFAgarap / gru-svm

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[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

machine-learning tensorflow svm recurrent-neural-networks artificial-intelligence gru supervised-learning classification intrusion-detection rnn artificial-neural-networks support-vector-machine rnn-tensorflow svm-classifier softmax classification-task gru-svm gru-model

Updated Feb 9, 2022
Python

happyjin / ConvGRU-pytorch

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Convolutional GRU

gru convgru convolutional-gru

Updated Jan 25, 2019
Python

timothyyu / gdax-orderbook-ml

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Open

fix scrape_start()

1

timothyyu commented Aug 22, 2018

boolean flag for scrape_running() status
save to raw_data_pipeline folder
timezone basis/reference config (timezone of scrape)
outline of function def for new hour of data (mock function)
outline of error handling if scrape interrupted

lipiji / rnn-theano

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RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

lstm gru rnn language-model

Updated Oct 14, 2018
Python

Alireza-Akhavan / rnn-notebooks

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

deep-learning keras jupyter-notebook lstm gru rnn tensorflow2

Updated Feb 11, 2020
Jupyter Notebook

zxth93 / CIKM_AnalytiCup_2017

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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.

gru xgboost rainfall cikm tianchi radar-maps

Updated Dec 11, 2017
Python

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

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Open

how can we get buy/sell signal

3

nexaas commented May 24, 2020

hi ,I have run animate.py but I think it is only for forecasiting, how can we catch buy and sell signal
I am not so good about python language ,can u help me please
I think we shoulld use train and eval.py for that right? or is there anyway to do this on animate.py

dudeperf3ct / DL_Notebooks

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This repo contains all the notebooks mentioned in blog.

Updated Jan 26, 2020
Jupyter Notebook

gru

Here are 506 public repositories matching this topic...

bentrevett / pytorch-seq2seq

mravanelli / pytorch-kaldi

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

khuangaf / CryptocurrencyPrediction

lvapeab / nmt-keras

ypwhs / baiduyun_deeplearning_competition

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

SuperBruceJia / EEG-DL

xiaochus / TrafficFlowPrediction

JonathanRaiman / theano_lstm

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

pyaf / load_forecasting

lmnt-com / haste

rakeshvar / rnn_ctc

jhhuang96 / ConvLSTM-PyTorch

lucko515 / speech-recognition-neural-network

Cadene / skip-thoughts.torch

OverLordGoldDragon / see-rnn

albertogaspar / dts

pandeykartikey / Hierarchical-Attention-Network

keishinkickback / Pytorch-RNN-text-classification

roomylee / rnn-text-classification-tf

AFAgarap / gru-svm

happyjin / ConvGRU-pytorch

timothyyu / gdax-orderbook-ml

fix scrape_start()

lipiji / rnn-theano

Alireza-Akhavan / rnn-notebooks

zxth93 / CIKM_AnalytiCup_2017

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

how can we get buy/sell signal

dudeperf3ct / DL_Notebooks

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