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248 search results found
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.
Cnn Lstm Bilstm Deepcnn Clstm In Pytorch
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965
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
Ccks_baidu_entity_link
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828
ccks baidu entity link 实体链接 第一名
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.
Nmt Keras
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514
Neural Machine Translation with Keras
Seq2seq
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502
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
Trafficflowprediction
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437
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Rnn Tutorial Gru Lstm
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424
Language Model GRU with Python and Theano
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
Keras_snli
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265
Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
Latent_ode
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255
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
Layer Norm
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236
Code and models from the paper "Layer Normalization"
Hipsternet
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222
All the hipster things in Neural Net in a single repo
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.
Data_grand
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195
2018达观杯文本智能处理挑战赛 Top10解决方案(10/3830)
Neural Summ Cnndm Pytorch
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194
Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail
Nlp Model
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184
Learning and practice
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
Tagger
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140
A Joint Chinese segmentation and POS tagger based on bidirectional GRU-CRF
Prediction Flow
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136
Deep-Learning based CTR models implemented by PyTorch
See Rnn
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135
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Nmtpy
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128
nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.
Time_series_forecasting_pytorch
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127
time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code
Deep Summarization
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126
Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews
Real Time Stock Market Prediction Using Ensemble Dl And Rainbow Dqn
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125
Chinese Sentiment Classification
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117
简单的中文文本情感分类 (MLP, CNN, RNN in PyTorch) - 2019 THU 人工智能导论作业
Tf Layer Norm
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114
TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
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!
Sentiment Analysis
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110
People_relation_extract
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109
结合BERT+GRU+ATT模型,对自己收集的人物关系数据进行模型训练,用于人物关系抽取。
Keras_text_classification
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88
implement some fancy text classification models by using keras
Transformers_for_text_classification
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84
基于Transformers的文本分类
Coupled Multi Layer Attentions
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82
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms
Match Lstm
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77
A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
Tt_rnn
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74
Deep Learning For Aspect Level Sentiment Classification Baselines
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72
The public state-of-the-art methods for deep learning based ASC
Librnn
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72
Gru D
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71
GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
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
Rnn Theano
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69
RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
Hands On Ml
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69
Hands-On Machine Learning
Recnet
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68
RecNet - Recurrent Neural Network Framework
Char Rnn
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66
Recurrent Neural Networks(GRU) for character-level language models on Chinese, in Python/Theano
Capsnet Nlp
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64
CapsNet for NLP
Cikm_analyticup_2017
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62
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.
Blocks Char Rnn
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61
Multi-layer RNN (LSTM, GRU, RNN) for character-level language models in Blocks
Sg Deep Question Generation
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61
This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).
Seq2seq_pointer_generator_summarizer
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59
A deep learning neural network for abstractive deep summarization
Tree Regularization Public
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59
Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"
Youtube Caption
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58
YoutTube Caption API Python example converted to Python 3
Seq2seq_upgrade_tensorflow
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56
[unmaintained] Additional Sequence to Sequence Features for TensorFlow
Mycail
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53
中国法研杯-司法人工智能挑战赛
Tensorflow Lstm Sin
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52
TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Textclassification
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52
deep learning in text classification(keras)
Rnn_predict
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51
Simple RNN (Gated Recurrent Units) for predicting a diagnosis
Sentence_classification
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50
sentence classification using CNN/LSTM/GRU
Dsran
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50
Code for journal paper "Learning Dual Semantic Relations with Graph Attention for Image-Text Matching", TCSVT, 2020.
Remaining Useful Life Prediction Rnn
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49
Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
Cryptopredictions
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49
CryptoCurrency prediction using machine learning and deep learning
Cdfl
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49
Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)
Multi Stage Convstar Network
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47
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
Keras_bert_classification
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47
Bert-classification and bert-dssm implementation with keras.
Deepanpr
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46
A two stage license recognition implement in Yolov3 and ResNet+GRU.
Opentextclassification
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41
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。
Attention Seq2seq Chatbot By Pytorch1.0.1
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40
Malware_detect2
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38
Malware Classification using Machine learning
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),.....
Dfcnn Master
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38
这是一个基于全卷积神经网络的语音识别系统
Deeplearning Timeseries
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36
Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
Higrus
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36
Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.
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
Aff Wild Models
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35
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.
Lowrank Gru
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34
Gated Recurrent Unit with Low-rank matrix factorization
Lstm Fcn Ablation
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33
Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
Hyrnn
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32
Hyperbolic Neural Networks, pytorch
Explainable Automated Medical Coding
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32
Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)
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
Convgru Pytorch
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29
Convolutional GRU
Sentence Classification Pytorch
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28
Sentiment analysis with variable length sequences in pytorch
Urban Sound Classification Vs
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28
城市声音分类 Urban Sound Classification with TensorFlow Keras - MLP, RNN, CNN
Rsbook
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28
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.
Integer_sequence_learning
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26
RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
3han
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26
3HAN: A Deep Neural Network for Fake News Detection: https://link.springer.com/chapter/10.1007%2F978-3-
Chinesepoemgeneration
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25
基于深度学习的古诗生成(deep learning based Chinese poem generation)
Aghmn
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25
Implementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.
Generativelstm
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24
Learning Accurate Generative Models of Business Processes With LSTM Neural Networks
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