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Search results for encoder attention
attention
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encoder
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91 search results found
Espnet
⭐
7,563
End-to-End Speech Processing Toolkit
Nmt
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6,085
TensorFlow Neural Machine Translation Tutorial
Pytorch Seq2seq
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5,024
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A Pytorch Tutorial To Image Captioning
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2,084
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Reformer Pytorch
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1,917
Reformer, the efficient Transformer, in Pytorch
Seq2seq Attn
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1,167
Sequence-to-sequence model with LSTM encoder/decoders and attention
Transformer Tts
⭐
599
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Bigbird
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433
Transformers for Longer Sequences
Linformer Pytorch
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323
My take on a practical implementation of Linformer for Pytorch.
Keras Transformer
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312
Transformer implemented in Keras
Seq2seq Summarizer
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259
Pointer-generator reinforced seq2seq summarization in PyTorch
Encoder_decoder
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256
Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
Pen Net For Inpainting
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235
[CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Da Rnn
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234
📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Snli Attention
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228
SNLI with word-word attention by LSTM encoder-decoder
Pytorch Batch Attention Seq2seq
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215
PyTorch implementation of batched bi-RNN encoder and attention-decoder.
Pytorch Lesson Zh
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214
pytorch 包教不包会
Attention_ocr.pytorch
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197
This repository implements the the encoder and decoder model with attention model for OCR
Tensorflow Dsmm
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195
Tensorflow implementations of various Deep Semantic Matching Models (DSMM).
R Net
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190
R-net in PyTorch, with ELMo
Deep Summarization
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126
Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews
Abstractive Summarization
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113
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Geoman
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95
Tensorflow Implement of GeoMAN, IJCAI-18
Torch Seq2seq Attention
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80
Torch implementation of seq2seq machine translation with GRU RNN and attention
Rnn Classifier
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76
Minimal RNN classifier with self-attention in Pytorch
Hred Attention Tensorflow
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64
An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.
Positional Encoding
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63
Encoding position with the word embeddings.
My_seq2seq
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62
My seq2seq based on tensorflow
Quora Duplicate Questions
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61
Kaggle | Quora Question Pairs❓🥉
Rarnn
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57
Recursive application of recurrent neural networks, for hierarchical intent parsing
Tf Var Attention
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55
Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)
Bidirectiona Lstm For Text Summarization
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49
A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)
Han Text Classification Tf
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48
Deep Learning Tensorflow
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47
Gathers Tensorflow deep learning models.
Attention Visualization
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44
Visualization for simple attention and Google's multi-head attention.
Mlpnlp Nmt
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43
This is a sample code of "LSTM encoder-decoder with attention mechanism" mainly for understanding a recently developed machine translation framework based on deep neural networks.
Tsf_nmt
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42
Experiments recreating the Neural Machine Translation experiments with bidirectional encoder and attention modules.
Attention_is_all_you_need
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41
Conv Ensemble Str
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40
The code for “Attention and Language Ensemble for Scene Text Recognition with Convolutional Sequence Modeling”
Sequencing
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39
A flexible and simple framework for sequence to sequence learning.
Attention
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38
Attention is All You Need in Sonnet
Encoder Agnostic Adaptation
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38
Encoder-Agnostic Adaptation for Conditional Language Generation
Rnn Encoder Decoder Pytorch
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34
RNN Encoder-Decoder in PyTorch
Rnn_sent
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34
Recurrent neural networks and Dynamic memory networks for sentiment classification
Seq2seq Pytorch
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33
Attention_rnn_for_textsum
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33
This is to reproduce article <A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION>
Squad Transformer
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32
RNN-free TensorFlow model for reading comprehension on SQuAD
Transformer Tts
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31
Implementation of "FastSpeech: Fast, Robust and Controllable Text to Speech"
Dynet Att
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27
An attentional NMT model in Dynet
Im2latex
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26
Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
Pointer Nn Pytorch
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24
Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses attention as a pointer to select a member of the input sequence as the output.
Geoman
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22
a easy pytorch implement of GeoMAN
Attention_ocr
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20
Encoder and decoder with attention model for chinese_ocr in Pytorch 1.0
Chatbot
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20
Seq2Seq Chatbot with attention mechanism
Transformer Tts
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18
A Tensorflow Implementation like "Neural Speech Synthesis with Transformer Network" Port From OpenSeq2Seq
Dialogue Seq2seq
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17
Sequence-to-Sequence Generative Dialogue Systems
Seq2seq Models
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16
Basic Seq2Seq, Attention, CopyNet
Attention_time
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16
Python implementation of a time-series model with (optional) attention where the encoder is CNN, decoder is LSTM, and more.
Ai_challenger_2018_sentiment_analysis
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15
Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018
Han Text Classification
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15
Rush_emnlp_2015
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14
A Neural Attention Model for Abstractive Sentence Summarization in DyNet
Tf Var Attention
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14
Variational Attention for Sequence to Sequence Models
Seq2seq Pytorch
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13
Sequence to Sequence Models with PyTorch
Cor Asv Ann
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12
OCR-D post-correction with encoder-attention-decoder LSTMs
Tf_encdec_seq2seq
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12
Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.
Translation Model
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12
French-English translator using word embeddings, bi-directional encoder, and decoder with attention
Transformer Backbone
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11
The reproduce of Transformer architecture in paper "Attention is all your need"
Image Caption Generation Using Fastai
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11
Implemented image caption generation method propossed in Show, Attend, and Tell paper using the Fastai framework to describe the content of images. Achieved 24 BLEU score for Beam search size of 5. Designed a Web application for model deployment using the Flask framework.
Transformer Variations
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10
"Variations of Transformer" running on Tensor2Tensor library
Transformer Translation
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10
Transformer (Attention is all you need)
Neural_machine_translation
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9
Machine translation with Tensorflow using a Bidirectional LSTM encoder-decoder network with attention implemented from scratch
Grammarcorrection
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9
Grammar Correction with Neural Network (Seq2Seq with Attention)
Self Attention
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9
Transformer的完整实现。详细构建Encoder、Decoder、Self-attentio
Keras Seq2seq Chatbot With Attention
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8
It is a seq2seq encoder decoder chatbot using keras and with attention
A Pytorch Project To Image Caption
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8
Image Caption with Attention | a PyTorch Project to Image Caption
Recurrent Attention Models For Depth Based Person Identification
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8
Seq2seq Attn Web
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8
Translate_machine_translation
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8
Vietnamese and Chinese to English
Bottom Up Summary
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7
Bottom-up Summarization
Seq2seq_translate_slackbot
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7
J2wsa
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7
Code for the paper Deep Joint Two-stream Wasserstein Auto-Encoder and Selective Attention Alignment for Unsupervised Domain Adaptation
Transformer_encoder_aoareader
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7
Attentionmnistseq2seq
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6
Use encoder-decoder with Bahdanau attention to predict MNIST digits sequence
Nlp Machine Translation
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6
CSCI 544 NLP Research Project - Machine Translation
Chatbot With Tensorflow And Keras
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6
Chatbot using Seq2Seq model and Attention
Ai Storage
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6
AI模型理解,论文笔记,开发和工程经验等的集合
Attention Hred
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5
Project on Hierarchical Encoder Decoder
Neural Image Caption Generator
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5
In this project, I define and train an image-to-caption model that can produce descriptions for real world images with Flickr-8k dataset.
Image Captioning
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5
CNN-Encoder and RNN-Decoder (Bahdanau Attention) for image caption or image to text on MS-COCO dataset. 图片描述
Sockeye_document_context
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5
Transformer Based Model Learning
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5
learn the transformer related model
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