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README.md

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-# TensorFlow Models
-
-This repository contains machine learning models implemented in
-[TensorFlow](https://tensorflow.org). The models are maintained by their
-respective authors.
-
-To propose a model for inclusion please submit a pull request.
-
-
-## Models
-- [autoencoder](autoencoder) -- various autoencoders
-- [inception](inception) -- deep convolutional networks for computer vision
-- [namignizer](namignizer) -- recognize and generate names
-- [neural_gpu](neural_gpu) -- highly parallel neural computer
-- [privacy](privacy) -- privacy-preserving student models from multiple teachers
-- [resnet](resnet) -- deep and wide residual networks
-- [slim](slim) -- image classification models in TF-Slim
-- [swivel](swivel) -- the Swivel algorithm for generating word embeddings
-- [syntaxnet](syntaxnet) -- neural models of natural language syntax
-- [textsum](textsum) -- sequence-to-sequence with attention model for text summarization.
-- [transformer](transformer) -- spatial transformer network, which allows the spatial manipulation of data within the network
-- [im2txt](im2txt) -- image-to-text neural network for image captioning.
-
 Implementation of the Neural Programmer model described in https://openreview.net/pdf?id=ry2YOrcge
 
 Download the data from http://www-nlp.stanford.edu/software/sempre/wikitable/