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.

Mustafa Ispir 931c70a1b8 Convert resnet model to use monitored_session пре 9 година
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) пре 9 година
autoencoder a472ac9525 merged changes from #25 пре 10 година
compression b181b9885c Update README with results for comparison. пре 9 година
differential_privacy a66b9e13c9 added semi-supervised training of the student using improved-gan (#655) пре 9 година
im2txt 946c75e5b5 Update GraphKeys.VARIABLES to GraphKeys.GLOBAL_VARIABLES. пре 9 година
inception bf51d43420 fix module object has no attribute NodeDef for tensorflow 0.11 (#572) пре 9 година
lm_1b fdc4ce37a4 Fix README пре 9 година
namignizer 76f567df5f add the namignizer model (#147) пре 9 година
neural_gpu a803bf4171 Add to neural_gpu documentation. пре 9 година
neural_programmer b905b41285 add a readme пре 9 година
resnet 931c70a1b8 Convert resnet model to use monitored_session пре 9 година
slim ea207d8a4d Updating README.md пре 9 година
street f42469ef90 Updated download instructions to match reality пре 9 година
swivel f3144eb061 Add sys.stdout.flush() пре 9 година
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) пре 9 година
textsum f1e8ff7c0f Update data.py пре 9 година
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) пре 9 година
video_prediction d67ea24901 video prediction model code пре 9 година
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) пре 9 година
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) пре 9 година
AUTHORS 41c52d60fe Spatial Transformer model пре 10 година
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines пре 10 година
LICENSE 7c41e653dc Update LICENSE пре 10 година
README.md 5860966afe Get back the README пре 9 година
WORKSPACE ac0829fa2b Consolidate privacy/ and differential_privacy/. пре 9 година

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.
  • neural_programmer -- neural network augmented with logic and mathematic operations.