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.

Xin Pan 6515a419aa Update cifar input following data change. 9 anni fa
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 anni fa
autoencoder a472ac9525 merged changes from #25 10 anni fa
compression 76739168f6 Initial commit of compression models. (#402) 9 anni fa
differential_privacy 107e72cc78 Add differential privacy training. 9 anni fa
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" 9 anni fa
inception 1fc268cafe Merge pull request #542 from jart/broken-link 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 6515a419aa Update cifar input following data change. 9 anni fa
slim a86f917c91 added python3 support to read_label_file 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 7498acc6e0 Merge pull request #377 from kaiix/textsum-multigpu 9 anni fa
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 anni fa
video_prediction d67ea24901 video prediction model code 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.