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.

Sergio Guadarrama 8284fe1297 Merge pull request #368 from nathansilberman/master 10 年之前
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 10 年之前
autoencoder a472ac9525 merged changes from #25 10 年之前
inception c7217f43b0 Update README.md with helpful tip (#243) 10 年之前
namignizer 76f567df5f add the namignizer model (#147) 10 年之前
neural_gpu a803bf4171 Add to neural_gpu documentation. 10 年之前
privacy c711dc707e added private learning with multiple teachers (#331) 10 年之前
resnet a591478c76 Add resnet model. (#273) 10 年之前
slim c6c78fb4fe Fixing link in README, updates to notebook variable names, small notebook bug fixes 10 年之前
swivel 857226896e remove unneeded assignment 10 年之前
syntaxnet bc0a0a8651 Clone commande do not get submodules recursively (#320) 10 年之前
textsum 25274f7cc4 typo fix (#353) 10 年之前
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 10 年之前
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 10 年之前
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 10 年之前
AUTHORS 41c52d60fe Spatial Transformer model 10 年之前
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 10 年之前
LICENSE 7c41e653dc Update LICENSE 10 年之前
README.md b5bceea1b7 README.md: add short description of models (#359) 10 年之前

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 -- TensorFlow implementation of 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