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.

Martin Wicke e93ec37201 Fix xent call in mnist tutorial code 8 rokov pred
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 rokov pred
autoencoder a472ac9525 merged changes from #25 9 rokov pred
compression b181b9885c Update README with results for comparison. 8 rokov pred
differential_privacy a66b9e13c9 added semi-supervised training of the student using improved-gan (#655) 8 rokov pred
im2txt 946c75e5b5 Update GraphKeys.VARIABLES to GraphKeys.GLOBAL_VARIABLES. 8 rokov pred
inception 9997b25041 Update build_image_data.py 8 rokov pred
lm_1b fdc4ce37a4 Fix README 9 rokov pred
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neural_programmer 64cfe0c170 edits to README 8 rokov pred
next_frame_prediction ba986cfcb0 Add cross conv model for next frame prediction. 8 rokov pred
resnet 50b9c40ac7 DOC: Typo in resnet documentation 8 rokov pred
slim ea207d8a4d Updating README.md 8 rokov pred
street f42469ef90 Updated download instructions to match reality 9 rokov pred
swivel f3144eb061 Add sys.stdout.flush() 9 rokov pred
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 9 rokov pred
textsum f1e8ff7c0f Update data.py 8 rokov pred
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 rokov pred
tutorials e93ec37201 Fix xent call in mnist tutorial code 8 rokov pred
video_prediction d67ea24901 video prediction model code 9 rokov pred
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.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 rokov pred
AUTHORS 41c52d60fe Spatial Transformer model 9 rokov pred
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README.md 94f3678096 Re-alphabetized the README 8 rokov pred
WORKSPACE ac0829fa2b Consolidate privacy/ and differential_privacy/. 9 rokov pred

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