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.

Nick Johnston f0de6d562e Fix GFile issue with numpy by using io library. 9 anni fa
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 anni fa
autoencoder a472ac9525 merged changes from #25 10 anni fa
compression f0de6d562e Fix GFile issue with numpy by using io library. 9 anni fa
im2txt c6a4f78308 Use open() instead of tf.gfile.FastGFile() 9 anni fa
inception c6a4f78308 Use open() instead of tf.gfile.FastGFile() 9 anni fa
lm_1b fdc4ce37a4 Fix README 9 anni fa
namignizer 76f567df5f add the namignizer model (#147) 9 anni fa
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 anni fa
privacy c711dc707e added private learning with multiple teachers (#331) 9 anni fa
resnet cdaa9b23d2 Merge pull request #355 from mfigurnov/refactor-precision 9 anni fa
slim 253ca4ab81 fix resize image throughout 9 anni fa
swivel 857226896e remove unneeded assignment 9 anni fa
syntaxnet 51238b1b52 Updates to syntaxnet, including update tensorflow sub-module, bazel requirement and fix trainer crash (#479) 9 anni fa
textsum 85836119d8 Add example code of binary/text data conversion. 9 anni fa
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 anni fa
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 anni fa
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 anni fa
AUTHORS 41c52d60fe Spatial Transformer model 10 anni fa
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 10 anni fa
LICENSE 7c41e653dc Update LICENSE 10 anni fa
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 9 anni fa

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.