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 e81ff57110 Merge pull request #688 from arvind2505/master 9 gadi atpakaļ
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 gadi atpakaļ
autoencoder a472ac9525 merged changes from #25 10 gadi atpakaļ
compression b181b9885c Update README with results for comparison. 9 gadi atpakaļ
differential_privacy a66b9e13c9 added semi-supervised training of the student using improved-gan (#655) 9 gadi atpakaļ
im2txt 946c75e5b5 Update GraphKeys.VARIABLES to GraphKeys.GLOBAL_VARIABLES. 9 gadi atpakaļ
inception bf51d43420 fix module object has no attribute NodeDef for tensorflow 0.11 (#572) 9 gadi atpakaļ
lm_1b fdc4ce37a4 Fix README 9 gadi atpakaļ
namignizer 76f567df5f add the namignizer model (#147) 9 gadi atpakaļ
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 gadi atpakaļ
neural_programmer 64cfe0c170 edits to README 9 gadi atpakaļ
resnet 931c70a1b8 Convert resnet model to use monitored_session 9 gadi atpakaļ
slim ea207d8a4d Updating README.md 9 gadi atpakaļ
street f42469ef90 Updated download instructions to match reality 9 gadi atpakaļ
swivel f3144eb061 Add sys.stdout.flush() 9 gadi atpakaļ
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 9 gadi atpakaļ
textsum f1e8ff7c0f Update data.py 9 gadi atpakaļ
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 gadi atpakaļ
video_prediction d67ea24901 video prediction model code 9 gadi atpakaļ
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 gadi atpakaļ
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 gadi atpakaļ
AUTHORS 41c52d60fe Spatial Transformer model 10 gadi atpakaļ
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 10 gadi atpakaļ
LICENSE 7c41e653dc Update LICENSE 10 gadi atpakaļ
README.md 5860966afe Get back the README 9 gadi atpakaļ
WORKSPACE ac0829fa2b Consolidate privacy/ and differential_privacy/. 9 gadi atpakaļ

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.