# 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.
- [neural_programmer](neural_programmer) -- neural network augmented with logic and mathematic operations.
