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.

Xin Pan ac0829fa2b Consolidate privacy/ and differential_privacy/. vor 9 Jahren
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) vor 9 Jahren
autoencoder a472ac9525 merged changes from #25 vor 9 Jahren
compression 199db00e33 Merge pull request #510 from nickj-google/master vor 9 Jahren
differential_privacy ac0829fa2b Consolidate privacy/ and differential_privacy/. vor 9 Jahren
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" vor 9 Jahren
inception bf51d43420 fix module object has no attribute NodeDef for tensorflow 0.11 (#572) vor 9 Jahren
lm_1b fdc4ce37a4 Fix README vor 9 Jahren
namignizer 76f567df5f add the namignizer model (#147) vor 9 Jahren
neural_gpu a803bf4171 Add to neural_gpu documentation. vor 9 Jahren
privacy d23fdb5876 remove extra parentheses in privacy README vor 9 Jahren
resnet d93ffd0b69 Allow softplacement for ResNet vor 9 Jahren
slim 79895dfff4 doc typo vor 9 Jahren
swivel f3144eb061 Add sys.stdout.flush() vor 9 Jahren
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) vor 9 Jahren
textsum 5e875226bc Explicitly set state_is_tuple=False. vor 9 Jahren
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) vor 9 Jahren
video_prediction d67ea24901 video prediction model code vor 9 Jahren
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) vor 9 Jahren
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) vor 9 Jahren
AUTHORS 41c52d60fe Spatial Transformer model vor 9 Jahren
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines vor 9 Jahren
LICENSE 7c41e653dc Update LICENSE vor 9 Jahren
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. vor 9 Jahren
WORKSPACE ac0829fa2b Consolidate privacy/ and differential_privacy/. vor 9 Jahren

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.