TensorFlow Models

This repository contains machine learning models implemented in TensorFlow. The models are maintained by their respective authors.

To propose a model for inclusion please submit a pull request.

Models

autoencoder -- various autoencoders
inception -- deep convolutional networks for computer vision
namignizer -- recognize and generate names
neural_gpu -- highly parallel neural computer
privacy -- privacy-preserving student models from multiple teachers
resnet -- deep and wide residual networks
slim -- image classification models in TF-Slim
swivel -- the Swivel algorithm for generating word embeddings
syntaxnet -- neural models of natural language syntax
textsum -- sequence-to-sequence with attention model for text summarization.
transformer -- spatial transformer network, which allows the spatial manipulation of data within the network
im2txt -- image-to-text neural network for image captioning.