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 33c4e784f4 Merge pull request #661 from AlexeyKurakin/master 9 years ago
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 years ago
autoencoder a472ac9525 merged changes from #25 10 years ago
compression b181b9885c Update README with results for comparison. 9 years ago
differential_privacy a66b9e13c9 added semi-supervised training of the student using improved-gan (#655) 9 years ago
im2txt 0cba7a4b5d Remove comment that TensorFlow must be built from source. 9 years ago
inception bf51d43420 fix module object has no attribute NodeDef for tensorflow 0.11 (#572) 9 years ago
lm_1b fdc4ce37a4 Fix README 9 years ago
namignizer 76f567df5f add the namignizer model (#147) 9 years ago
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 years ago
resnet d93ffd0b69 Allow softplacement for ResNet 9 years ago
slim ea207d8a4d Updating README.md 9 years ago
street f42469ef90 Updated download instructions to match reality 9 years ago
swivel f3144eb061 Add sys.stdout.flush() 9 years ago
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 9 years ago
textsum 5e875226bc Explicitly set state_is_tuple=False. 9 years ago
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 years ago
video_prediction d67ea24901 video prediction model code 9 years ago
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 years ago
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 years ago
AUTHORS 41c52d60fe Spatial Transformer model 10 years ago
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 10 years ago
LICENSE 7c41e653dc Update LICENSE 10 years ago
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 9 years ago
WORKSPACE ac0829fa2b Consolidate privacy/ and differential_privacy/. 9 years ago

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.