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.

Lukasz Kaiser 33c4e784f4 Merge pull request #661 from AlexeyKurakin/master 9 年之前
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 10 年之前
autoencoder a472ac9525 merged changes from #25 10 年之前
compression b181b9885c Update README with results for comparison. 9 年之前
differential_privacy a66b9e13c9 added semi-supervised training of the student using improved-gan (#655) 9 年之前
im2txt 0cba7a4b5d Remove comment that TensorFlow must be built from source. 9 年之前
inception bf51d43420 fix module object has no attribute NodeDef for tensorflow 0.11 (#572) 10 年之前
lm_1b fdc4ce37a4 Fix README 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
resnet d93ffd0b69 Allow softplacement for ResNet 10 年之前
slim ea207d8a4d Updating README.md 9 年之前
street f42469ef90 Updated download instructions to match reality 10 年之前
swivel f3144eb061 Add sys.stdout.flush() 10 年之前
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 10 年之前
textsum 5e875226bc Explicitly set state_is_tuple=False. 10 年之前
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 10 年之前
video_prediction d67ea24901 video prediction model code 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 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 10 年之前
WORKSPACE ac0829fa2b Consolidate privacy/ and differential_privacy/. 9 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 -- 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.