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Search results for recurrent neural networks gru
gru
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recurrent-neural-networks
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21 search results found
Pytorch Seq2seq
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5,024
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Pytorch Kaldi
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2,138
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.
Eeg Dl
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563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Multi Class Text Classification Cnn Rnn
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554
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Dynamic Tensorflow Tutorial
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515
Tensorflow tutorial of building different dynamic recurrent neural network
Genmusic_demo_list
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477
a list of demo websites for automatic music generation research
Rnn Tutorial Gru Lstm
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424
Language Model GRU with Python and Theano
Baiduyun_deeplearning_competition
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363
百度云魅族深度学习应用大赛
Easy Deep Learning With Keras
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336
Keras tutorial for beginners (using TF backend)
Theano_lstm
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309
🔬 Nano size Theano LSTM module
Haste
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298
Haste: a fast, simple, and open RNN library
Load_forecasting
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260
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
Latent_ode
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255
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
Hands On Deep Learning Algorithms With Python
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241
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Rnn_ctc
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216
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Char Rnn Chinese
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190
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.
Sentence Classification
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180
Sentence Classifications with Neural Networks
Dts
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157
A Keras library for multi-step time-series forecasting.
Train_arch
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154
cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+r GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,..... vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....
Pytorch Rnn Text Classification
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145
Word Embedding + LSTM + FC
See Rnn
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135
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Speech Recognition Neural Network
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128
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Time_series_forecasting_pytorch
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127
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
Rnn From Scratch
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114
Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
Rnn Text Classification Tf
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112
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Lightnn
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111
The light deep learning framework for study and for fun. Join us!
Recurrentnn.jl
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96
Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia
Eval On Nn Of Rc
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84
Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension
Recurrent Ppo Truncated Bptt
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82
Baseline implementation of recurrent PPO using truncated BPTT
Tt_rnn
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74
Gru Svm
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70
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Hands On Ml
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69
Hands-On Machine Learning
Lstm Ctc Ocr
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69
using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
Rnn Theano
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69
RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
Char Rnn
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66
Recurrent Neural Networks(GRU) for character-level language models on Chinese, in Python/Theano
Umaru
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65
An OCR-system based on torch using the technique of LSTM/GRU-RNN, CTC and referred to the works of rnnlib and clstm.
Blocks Char Rnn
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61
Multi-layer RNN (LSTM, GRU, RNN) for character-level language models in Blocks
Seq2seq Attention
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59
Seq2seq_upgrade_tensorflow
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56
[unmaintained] Additional Sequence to Sequence Features for TensorFlow
Nncomp
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53
Real-time recurrent neural networks for audio plugins
Gdax Orderbook Ml
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53
Application of machine learning to the Coinbase (GDAX) orderbook
Tensorflow Lstm Sin
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52
TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Rnn_predict
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51
Simple RNN (Gated Recurrent Units) for predicting a diagnosis
Remaining Useful Life Prediction Rnn
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49
Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
Note_music_generator
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48
Multi Stage Convstar Network
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47
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
Recurrentjava
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46
Deep Recurrent Neural Nets in Java
Tweet Classify
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45
Tweet Classification using RNN and CNN
Train_cnn Rnn
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38
cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+r GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU),.....
Malware_detect2
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38
Malware Classification using Machine learning
Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification
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38
NLP tutorial
Deeplearning Timeseries
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36
Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
Theano Recurrence
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35
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Rnn_sent
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34
Recurrent neural networks and Dynamic memory networks for sentiment classification
Time Series Forecasting Keras
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34
time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
Rnn Notebooks
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33
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Rnn Walkthrough
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31
Dl_for_rsis
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30
Deep Leaning (DL) for remote sensing image (RSI) classification.
Pedestrian Trajectories Prediction With Rnn
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30
Used LSTM and GRU for RNN, KNN for linear regression
Theano Kaldi Rnn
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29
THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
Time Series Prediction
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29
Basic RNN, LSTM, GRU, and Attention for time-series prediction
Nilm Thresholding
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28
⚠️ This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.
Keras Rnn Timeseries
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28
Keras-RNN-timeseries
Zeta Learn
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27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Noisereductionusinggru
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27
This is my graduation project in BIT. Title: Noise Reduction Using GRU.
Sudl
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27
light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
Chinesepoemgeneration
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25
基于深度学习的古诗生成(deep learning based Chinese poem generation)
Char Rnn Api
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25
API for char-rnn, a multi-layer Recurrent Neural Network (LSTM, GRU, RNN) for character-level language models in Torch.
Sp2cp
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23
Imageboard bot with recurrent neural network (RNN, GRU)
Pytorch Pos Tagger
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22
Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
Cudnn_rnn_theano_benchmarks
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22
Rnn_video_object_detection
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21
Easynlp
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20
Do NLP without coding! Simple NLP framework.
Deep Learning Collection
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19
Tensorflow Deep Learning
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18
用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/C Network等deep learning模型
Nyyelp
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18
predicting yelp review rating using recurrent neural networks
Pinyin2hanzi
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18
End-to-end translation of Chinese phonetics to characters using bi-directional RNN (LSTM/GRU)
Rnn Attention
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17
两层attention 的lstm评论情感分析
Char Rnn Korean
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16
Torch를 이용한 문자 단위의 언어(한글) 모델을 훈련하기 위한 멀티 레이어 Recurrent Neural Network(LSTM, GRU, RNN)
Convlstm Pytorch
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16
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Octopi
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16
Playing with arithmetic coding and RNNs
Image Captioning
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16
Image Captioning from scratch
Tf Nnlm Tk
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15
A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.
Deep Learning Models
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15
Implementing from scratch: NN, RNN, LSTM, GRU and CNN using theano.
Ecgclassifier
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15
CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
Blood Glucose Prediction Lstm
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15
Source code for predicting Blood Glucose Concentration
Mydl
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14
Deep Learning
Stackable Recurrent Network
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14
[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
Odecrop
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14
[TGRS21] Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations
Bitcoin Rnn
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14
rnn/lstm to generate private keys from public keys of known high value
Thesis
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14
Master's thesis, Uni Passau
Image Captioning With Beam Search
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14
Generating image captions using Xception Network and Beam Search in Keras
Nmt
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13
Neural Machine Translation with RNN/ConvS2S/Transoformer
Pytorch Learning
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13
Pytorch Framework learning for deeplearning
Customer Feedback Analysis
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13
Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.
Interactive Keras Captioning
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12
Interactive multimedia captioning with Keras
Rnn
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12
Repository for RNNs using TensorFlow and Keras - LSTM and GRU Implementation from Scratch - Simple Classification and Regression Problem using RNNs
Text_classify_by_keras
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12
keras 搭建文本分类模型,textcnn/bi_gru/cnn+rnn_binglian/cnn+rnn_c
Cnn Rnn
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11
CNN-RNN for human activity recognition
Stock Prediction Rnn
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10
Stock Price prediction for Yahoo Inc. using GRU (Gated Recurrant Units) in Keras. Predicting closing price for Yahoo stocks
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