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Search results for deep neural networks attention
attention
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deep-neural-networks
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26 search results found
Keras Attention
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656
Visualizing RNNs using the attention mechanism
Vad
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632
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
Action Recognition Visual Attention
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338
Action recognition using soft attention based deep recurrent neural networks
Appnp
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322
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Attention_is_all_you_need
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293
Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.
Sparse Structured Attention
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190
Sparse and structured neural attention mechanisms
Hey Jetson
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189
Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
Hnatt
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182
Train and visualize Hierarchical Attention Networks
Multihead Siamese Nets
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173
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
Prediction Flow
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136
Deep-Learning based CTR models implemented by PyTorch
Tf2deepfloorplan
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107
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Weibosentiment
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104
基于各种机器学习和深度学习的中文微博情感分析
Adnet
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99
Attention-guided CNN for image denoising(Neural Networks,2020)
100 Days Of Nlp
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83
Cs224n_project
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65
Neural Image Captioning in TensorFlow.
Fake_news_detection_deep_learning
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60
Fake News Detection using Deep Learning models in Tensorflow
Time Attention
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58
Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
Pytorch Attention Guided Cyclegan
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57
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
How To Train Your Neural Net
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55
Deep learning research implemented on notebooks using PyTorch.
Sarcasm Detection
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52
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Constrained_attention_filter
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38
(ECCV2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
Anmm Cikm16
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37
Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection
Hierarchical Word Sense Disambiguation Using Wordnet Senses
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33
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
Deep Learning Visuals
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24
A collection of 100 Deep Learning images and visualizations
San
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23
Attention-based feature ranking for propositional data.
Reproducibilty Challenge Ecanet
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22
Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.
Question Answering
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22
Exploration of various deep neural networks for Question Answering and Reading Comprehension
Cross_target_stance_classification
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17
Keras implementation for CrossNet in paper "Cross-Target Stance Classification with Self-Attention Networks"
Concise Ipython Notebooks For Deep Learning
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17
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Tensorflow Speech Enhancement
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16
DNN and RCED speech enhancement
Dgcnn
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13
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Dnn Architecture Mindmap
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7
DNN-Architecture-MindMap
Attention_based_recsys
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5
NeuMF with attention mechanism.
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1-26 of 26 search results
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