A Keras project with similarly sized encoder-decoder and u-net networks applied to identifying cars
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Updated
Feb 23, 2017 - Python
A Keras project with similarly sized encoder-decoder and u-net networks applied to identifying cars
Chatting Robot
Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
Hierarchical Encoder Decoder RNN
PyTorch Implementation of Japanese Chatbot
The simplest seq2seq implementation based on encoder-decoder using TensorFlow 1.3
Use encoder-decoder with Bahdanau attention to predict MNIST digits sequence
Code for converting speech data into text using encoder-decoder model.
Chatbot which works is rule based CNN Classifier and uses Sequence to Sequence Generator as Fallback option
News summarization using sequence to sequence model with attention in TensorFlow.
Sequence to sequence learning using TensorFlow.
build a deep neural network that functions as part of an end-to-end machine translation pipeline; the completed pipeline accepts English text as input and returns the French translation.
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
A pytorch implementation of the Bytenet network for neural machine translation.
Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html
Neural Systems for the CONLL shared task on Universal Morphological Inflection
rnn encoder decoder and add attention using pytorch
Noise removal from images using Convolutional autoencoder
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