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attention
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decoder
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88 search results found
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
Nlp Models Tensorflow
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1,329
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Attention Ocr
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973
Visual Attention based OCR
Seq2seq Pytorch
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653
Sequence to Sequence Models with PyTorch
Rlseq2seq
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610
Deep Reinforcement Learning For Sequence to Sequence Models
Transformer Tts
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599
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Neural_sp
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466
End-to-end ASR/LM implementation with PyTorch
Bigbird
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433
Transformers for Longer Sequences
Attention_keras
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429
Keras Layer implementation of Attention for Sequential models
Transformer Tensorflow
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318
Implementation of Transformer Model in Tensorflow
Keras Transformer
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312
Transformer implemented in Keras
Tensorflow_end2end_speech_recognition
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275
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
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
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.
Attention_ocr.pytorch
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197
This repository implements the the encoder and decoder model with attention model for OCR
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.
Nmt.matlab
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95
Code to train state-of-the-art Neural Machine Translation systems.
Njunmt Tf
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90
An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.
100 Days Of Nlp
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83
Torch Seq2seq Attention
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80
Torch implementation of seq2seq machine translation with GRU RNN and attention
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.
Mtrf Toolbox
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63
A MATLAB Package for Relating Neural Signals to Continuous Stimuli
My_seq2seq
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62
My seq2seq based on tensorflow
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)
Torch Seq2seq Intent Parsing
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52
Intent parsing and slot filling in Torch with seq2seq + attention
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)
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.
Latent Attention
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43
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
Rnn Encoder Decoder Pytorch
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34
RNN Encoder-Decoder in PyTorch
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>
Pytorch Dynamic Rnn Attention Decoder Tree
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28
This is code I wrote within less than an hour so as to very roughly draft how I would code a Dynamic RNN Attention Decoder Tree with PyTorch.
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
Tensorflow Rnn Tutorial
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25
Tensorflow RNN Tutorial
Image Caption
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24
Using LSTM or Transformer to solve Image Captioning in Pytorch
Geoman
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22
a easy pytorch implement of GeoMAN
Transformerdissection
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22
[EMNLP'19] Summary for Transformer Understanding
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
Ptr Net
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19
TensorFlow implementation of a Pointer Network (https://arxiv.org/abs/1506.03134)
Machine_translation
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17
Machine translation using deep learning with lstm,cnn,attention,beam search and so on.
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.
Im2latex
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14
An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem
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
Translation Model
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12
French-English translator using word embeddings, bi-directional encoder, and decoder with attention
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.
Transformer Backbone
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11
The reproduce of Transformer architecture in paper "Attention is all your need"
Video Summarization Using Attention
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11
A Keras Implementation of Supervised Video Summarization using Attention Based Encoder-Decoder Networks
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 Translation
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10
Transformer (Attention is all you need)
Transformer Variations
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10
"Variations of Transformer" running on Tensor2Tensor library
Self Attention
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9
Transformer的完整实现。详细构建Encoder、Decoder、Self-attentio
Gecwbert
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9
Use Language Model (LM) for Grammar Error Correction (GEC), without the use of annotated data.
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)
A Pytorch Project To Image Caption
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8
Image Caption with Attention | a PyTorch Project to Image Caption
Translate_machine_translation
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8
Vietnamese and Chinese to English
Keras Seq2seq Chatbot With Attention
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8
It is a seq2seq encoder decoder chatbot using keras and with attention
Seq2seq Attn Web
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8
Socialmediacomputing
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7
Including several social-media-computing tools.
Seq2seq_translate_slackbot
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7
Binarizednmt
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7
Exploring ways to reduce Neural Machine Translation Memory and Computation through binarized networks
Nlp Machine Translation
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6
CSCI 544 NLP Research Project - Machine Translation
Attentionmnistseq2seq
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6
Use encoder-decoder with Bahdanau attention to predict MNIST digits sequence
Tensorflow 2 Rnn Tutorial
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6
Tensorflow 2 RNN tutorial. Tensorflow Addons
Chatbot With Tensorflow And Keras
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6
Chatbot using Seq2Seq model and Attention
Dynamicattentionocr
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6
Image Captioning With Attention
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6
Tensorflow implementation of attention mechanisms for image captioning
Transformer Based Model Learning
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5
learn the transformer related model
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.
Sockeye_document_context
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5
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1-88 of 88 search results
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