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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.

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Lukasz Kaiser 9ec7946e8e Merge pull request #521 from theraysmith/master 9 vuotta sitten
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autoencoder a472ac9525 merged changes from #25 10 vuotta sitten
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differential_privacy 107e72cc78 Add differential privacy training. 9 vuotta sitten
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" 9 vuotta sitten
inception bf51d43420 fix module object has no attribute NodeDef for tensorflow 0.11 (#572) 9 vuotta sitten
lm_1b fdc4ce37a4 Fix README 9 vuotta sitten
namignizer 76f567df5f add the namignizer model (#147) 9 vuotta sitten
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 vuotta sitten
privacy d23fdb5876 remove extra parentheses in privacy README 9 vuotta sitten
resnet d93ffd0b69 Allow softplacement for ResNet 9 vuotta sitten
slim 79895dfff4 doc typo 9 vuotta sitten
street f42469ef90 Updated download instructions to match reality 9 vuotta sitten
swivel f3144eb061 Add sys.stdout.flush() 9 vuotta sitten
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 9 vuotta sitten
textsum 5e875226bc Explicitly set state_is_tuple=False. 9 vuotta sitten
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 vuotta sitten
video_prediction d67ea24901 video prediction model code 9 vuotta sitten
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AUTHORS 41c52d60fe Spatial Transformer model 10 vuotta sitten
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README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 9 vuotta sitten

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.