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 Jun 1, 2020
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mravanelli / pytorch-kaldi

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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 Jun 11, 2020
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

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 3, 2020
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 Mar 1, 2020
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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 Oct 13, 2017
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 Apr 21, 2018
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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 Apr 17, 2020
Jupyter Notebook

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

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

lmnt-com / haste

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Haste: a fast, simple, and open RNN library

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

Updated Jul 5, 2020
C++

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

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

pyaf / load_forecasting

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Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

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

Updated Jun 5, 2020
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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
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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

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

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 May 22, 2020
Python

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

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