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@@ -1,18 +1,22 @@
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-Implementation of the Neural Programmer model described in https://openreview.net/pdf?id=ry2YOrcge
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+# TensorFlow Models
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-Download the data from http://www-nlp.stanford.edu/software/sempre/wikitable/
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-Change the data_dir FLAG to the location of the data
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+This repository contains machine learning models implemented in
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+[TensorFlow](https://tensorflow.org). The models are maintained by their
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+respective authors.
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-Training:
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-python neural_programmer.py
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+To propose a model for inclusion please submit a pull request.
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-The models are written to FLAGS.output_dir
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-
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-Testing:
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-python neural_programmer.py --evaluator_job=True
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-
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-The models are loaded from FLAGS.output_dir.
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-The evaluation is done on development data.
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-
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-Maintained by Arvind Neelakantan (arvind2505)
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+## Models
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+- [autoencoder](autoencoder) -- various autoencoders
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+- [inception](inception) -- deep convolutional networks for computer vision
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+- [namignizer](namignizer) -- recognize and generate names
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+- [neural_gpu](neural_gpu) -- highly parallel neural computer
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+- [privacy](privacy) -- privacy-preserving student models from multiple teachers
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+- [resnet](resnet) -- deep and wide residual networks
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+- [slim](slim) -- image classification models in TF-Slim
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+- [swivel](swivel) -- the Swivel algorithm for generating word embeddings
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+- [syntaxnet](syntaxnet) -- neural models of natural language syntax
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+- [textsum](textsum) -- sequence-to-sequence with attention model for text summarization.
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+- [transformer](transformer) -- spatial transformer network, which allows the spatial manipulation of data within the network
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+- [im2txt](im2txt) -- image-to-text neural network for image captioning.
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Quoc Le