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.

Neal Wu a8ab7347a1 Merge pull request #822 from tensorflow/alphabetize-readme 9 éve
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 10 éve
autoencoder a472ac9525 merged changes from #25 10 éve
compression b181b9885c Update README with results for comparison. 9 éve
differential_privacy a66b9e13c9 added semi-supervised training of the student using improved-gan (#655) 9 éve
im2txt 946c75e5b5 Update GraphKeys.VARIABLES to GraphKeys.GLOBAL_VARIABLES. 9 éve
inception 33bc8b1469 fix the error of "TypeError: ones_initializer() got multiple values for (#777) 9 éve
lm_1b fdc4ce37a4 Fix README 10 éve
namignizer 76f567df5f add the namignizer model (#147) 10 éve
neural_gpu a803bf4171 Add to neural_gpu documentation. 10 éve
neural_programmer 64cfe0c170 edits to README 9 éve
next_frame_prediction ba986cfcb0 Add cross conv model for next frame prediction. 9 éve
resnet 50b9c40ac7 DOC: Typo in resnet documentation 9 éve
slim ea207d8a4d Updating README.md 9 éve
street f42469ef90 Updated download instructions to match reality 10 éve
swivel f3144eb061 Add sys.stdout.flush() 10 éve
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 10 éve
textsum f1e8ff7c0f Update data.py 9 éve
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 10 éve
tutorials 11b8ab868e Removed unused import 9 éve
video_prediction d67ea24901 video prediction model code 10 éve
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 10 éve
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 10 éve
AUTHORS 41c52d60fe Spatial Transformer model 10 éve
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 10 éve
LICENSE 7c41e653dc Update LICENSE 10 éve
README.md 94f3678096 Re-alphabetized the README 9 éve
WORKSPACE ac0829fa2b Consolidate privacy/ and differential_privacy/. 9 éve

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
  • differential_privacy -- privacy-preserving student models from multiple teachers
  • im2txt -- image-to-text neural network for image captioning.
  • inception -- deep convolutional networks for computer vision
  • namignizer -- recognize and generate names
  • neural_gpu -- highly parallel neural computer
  • neural_programmer -- neural network augmented with logic and mathematic operations.
  • 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