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.

Chris Shallue c0bc7c3112 Revert "Fix bug in relative path of shell scripts built with bazel." 9 gadi atpakaļ
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 gadi atpakaļ
autoencoder a472ac9525 merged changes from #25 9 gadi atpakaļ
im2txt 3e3a4b50ef Revert "Add Bazel workspace name to fix bug in relative path of shell scripts." 9 gadi atpakaļ
inception c0bc7c3112 Revert "Fix bug in relative path of shell scripts built with bazel." 9 gadi atpakaļ
namignizer 76f567df5f add the namignizer model (#147) 9 gadi atpakaļ
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 gadi atpakaļ
privacy c711dc707e added private learning with multiple teachers (#331) 9 gadi atpakaļ
resnet cdaa9b23d2 Merge pull request #355 from mfigurnov/refactor-precision 9 gadi atpakaļ
slim ae061040bc Fixes to README.md TOC links 9 gadi atpakaļ
swivel 857226896e remove unneeded assignment 9 gadi atpakaļ
syntaxnet bc0a0a8651 Clone commande do not get submodules recursively (#320) 9 gadi atpakaļ
textsum 25274f7cc4 typo fix (#353) 9 gadi atpakaļ
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 gadi atpakaļ
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 gadi atpakaļ
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 gadi atpakaļ
AUTHORS 41c52d60fe Spatial Transformer model 9 gadi atpakaļ
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 9 gadi atpakaļ
LICENSE 7c41e653dc Update LICENSE 9 gadi atpakaļ
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 9 gadi atpakaļ

README.md

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.