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Search results for lstm encoder
encoder
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lstm
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74 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.
Chatbot Retrieval
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1,545
Dual LSTM Encoder for Dialog Response Generation
Cove
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467
Snli Attention
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228
SNLI with word-word attention by LSTM encoder-decoder
Tts Cube
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216
End-2-end speech synthesis with recurrent neural networks
Autoencoder
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207
Text autoencoder with LSTMs
Attention_ocr.pytorch
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197
This repository implements the the encoder and decoder model with attention model for OCR
Seq2seqsharp
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188
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
Variational Lstm Autoencoder
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155
Lstm variational auto-encoder API for time series anomaly detection and features extraction
Poetry Seq2seq
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154
Chinese Poetry Generation
Image Caption Generator
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136
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Abstractive Summarization
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113
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Neuralsum
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98
Transfer Learning Text Tf
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74
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
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.
Topjudge
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62
Quora Duplicate Questions
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61
Kaggle | Quora Question Pairs❓🥉
Seq2vec
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54
Transform sequence of words into a fix-length representation vector
Mxnet Seq2seq
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52
Sequence to sequence learning with MXNET
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)
Deep Learning Tensorflow
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47
Gathers Tensorflow deep learning models.
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.
Attention_is_all_you_need
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41
Neural Networks
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34
All about Neural Networks!
Forgery_localization_hled
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33
Implementation of "Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries" paper.
Deep Learning Based State Estimation
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32
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
Keras_bn_library
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31
keras extended library
Dynet Att
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27
An attentional NMT model in Dynet
Simple Chatbot Keras
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27
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
Im2latex
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26
Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
Retrieval Based_chatbot
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24
Frame Predict Vae Lstm
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23
Predicting image frames using autoencoder and LSTM
Lstm_encoder_decoder
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20
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
Deep Char Cnn Lstm
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18
Deep Character CNN LSTM Encoder with Classification and Similarity Models
Deepsign A Deep Learning Architecture For Sign Language Recognition
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17
Dialogue Seq2seq
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17
Sequence-to-Sequence Generative Dialogue Systems
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.
Convlstm Pytorch
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16
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Seq2seqlearn
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16
C# Sequence to Sequence Learning with Attention using LSTM neural Networks
Pytorch_models
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15
PyTorch study
Video_autoencoder
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15
Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
Cstlstm
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14
Child-Sum Tree-LSTM Implementation in PyTorch
Eraser Benchmark Baseline Models
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14
Baseline for ERASER benchmark
Intention To Code Lstm
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13
Source Code Generation Based On User Intention Using LSTM Networks
Physicsawareae
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13
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
Torch Seq2seq
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12
Word-level sequence to sequence RNN for translation
Tf_encdec_seq2seq
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12
Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.
Langdist
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10
Multilingual Language Modeling Toolkit
Text_summarization_using_bidirectional_lstm
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10
Neural Machine Translation Using Keras
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9
This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras
Track_sequence_anomaly_detection
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9
由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类
Neural_machine_translation
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9
Machine translation with Tensorflow using a Bidirectional LSTM encoder-decoder network with attention implemented from scratch
Image Captioning
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9
Used LSTM on Flickr dataset
Automatic Image Captioning
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9
Automatically captioning a unseen image using encoding with CNN and decoding with RNN.
Law_pre
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8
Using SeqJudge to solve Legal Judgment Prediction.
Seq2seq_tf
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8
Sequence-to-Sequence in Tensorflow
A Pytorch Project To Image Caption
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8
Image Caption with Attention | a PyTorch Project to Image Caption
Lstm Encoder For Driver Telematics
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8
Attempt to solve the Kaggle AXA Drivers Telematics challenge using a Deep Learning Approach
Sequencetosequencelearning
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8
Sequence to Sequence学习简述
Parallel Seq2seq
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7
A new seq2seq model for fast training.
Bottom Up Summary
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7
Bottom-up Summarization
Image Captioning
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7
Image Captioning is the process of generating textual description of an image.It uses both Natural language Processing and Computer Vision to generate the captions.
Lstmgan For Melody Generation
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6
An LSTM GAN implementation for music generation from MIDI files. The work closely follows work on GAN hacks in https://github.com/soumith/ganhacks
Crnn
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6
Image_caption_gan
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6
Image Caption Ir Im2txt
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6
Flowchroma
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6
A Deep Learning Based Automated Video Colorization Framework
Dual_encoder
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6
Dual LSTM encoder for predicting the likelihood of a message being a reply to a given context
Image_caption Lstm
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6
Image Captioning Model Implemented in PyTorch using CNN followed by LSTM
Chatbot Retrieval
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6
Dual LSTM Encoder for Dialog Response Generation
Text_summarizer
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5
Buildig a Text Summarizer using LSTMs
Melodybot
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5
Slr
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5
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/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.
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