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.

Lukasz Kaiser 9ec7946e8e Merge pull request #521 from theraysmith/master 9 jaren geleden
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 jaren geleden
autoencoder a472ac9525 merged changes from #25 10 jaren geleden
compression 199db00e33 Merge pull request #510 from nickj-google/master 9 jaren geleden
differential_privacy 107e72cc78 Add differential privacy training. 9 jaren geleden
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" 9 jaren geleden
inception bf51d43420 fix module object has no attribute NodeDef for tensorflow 0.11 (#572) 9 jaren geleden
lm_1b fdc4ce37a4 Fix README 9 jaren geleden
namignizer 76f567df5f add the namignizer model (#147) 9 jaren geleden
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 jaren geleden
privacy d23fdb5876 remove extra parentheses in privacy README 9 jaren geleden
resnet d93ffd0b69 Allow softplacement for ResNet 9 jaren geleden
slim 79895dfff4 doc typo 9 jaren geleden
street f42469ef90 Updated download instructions to match reality 9 jaren geleden
swivel f3144eb061 Add sys.stdout.flush() 9 jaren geleden
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 9 jaren geleden
textsum 5e875226bc Explicitly set state_is_tuple=False. 9 jaren geleden
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 jaren geleden
video_prediction d67ea24901 video prediction model code 9 jaren geleden
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 jaren geleden
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 jaren geleden
AUTHORS 41c52d60fe Spatial Transformer model 10 jaren geleden
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 10 jaren geleden
LICENSE 7c41e653dc Update LICENSE 10 jaren geleden
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 9 jaren geleden

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.