Get back the README

README.md

-Implementation of the Neural Programmer model described in https://openreview.net/pdf?id=ry2YOrcge
+# TensorFlow Models
 
-Download the data from http://www-nlp.stanford.edu/software/sempre/wikitable/
-Change the data_dir FLAG to the location of the data
+This repository contains machine learning models implemented in
+[TensorFlow](https://tensorflow.org). The models are maintained by their
+respective authors.
 
-Training:
-python neural_programmer.py
+To propose a model for inclusion please submit a pull request.
 
-The models are written to FLAGS.output_dir 
 
-
-Testing:
-python neural_programmer.py --evaluator_job=True
-
-The models are loaded from FLAGS.output_dir.
-The evaluation is done on development data.
-
-Maintained by Arvind Neelakantan (arvind2505)
+## 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.