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.

npapernot fe89fdab89 add privacy analysis script and teacher labels required to predict the epsilon пре 9 година
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) пре 9 година
autoencoder a472ac9525 merged changes from #25 пре 10 година
compression 76739168f6 Initial commit of compression models. (#402) пре 9 година
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" пре 9 година
inception 1fc268cafe Merge pull request #542 from jart/broken-link 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
privacy fe89fdab89 add privacy analysis script and teacher labels required to predict the epsilon пре 9 година
resnet cdaa9b23d2 Merge pull request #355 from mfigurnov/refactor-precision пре 9 година
slim a86f917c91 added python3 support to read_label_file пре 9 година
swivel 857226896e remove unneeded assignment пре 9 година
syntaxnet 51238b1b52 Updates to syntaxnet, including update tensorflow sub-module, bazel requirement and fix trainer crash (#479) пре 9 година
textsum 7498acc6e0 Merge pull request #377 from kaiix/textsum-multigpu 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 10 година
AUTHORS 41c52d60fe Spatial Transformer model пре 10 година
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines пре 10 година
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README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 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.