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 -- TensorFlow implementation of 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