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.

Jaemin Cho 5eff490de4 Fix POS tagging score of Ling et al.(2005) 9 jaren geleden
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 jaren geleden
autoencoder a472ac9525 merged changes from #25 10 jaren geleden
compression 76739168f6 Initial commit of compression models. (#402) 9 jaren geleden
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" 9 jaren geleden
inception 1fc268cafe Merge pull request #542 from jart/broken-link 9 jaren geleden
lm_1b fdc4ce37a4 Fix README 9 jaren geleden
namignizer 76f567df5f add the namignizer model (#147) 9 jaren geleden
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 jaren geleden
privacy c711dc707e added private learning with multiple teachers (#331) 9 jaren geleden
resnet cdaa9b23d2 Merge pull request #355 from mfigurnov/refactor-precision 9 jaren geleden
slim a86f917c91 added python3 support to read_label_file 9 jaren geleden
swivel 857226896e remove unneeded assignment 9 jaren geleden
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 9 jaren geleden
textsum 7498acc6e0 Merge pull request #377 from kaiix/textsum-multigpu 9 jaren geleden
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 jaren geleden
video_prediction d67ea24901 video prediction model code 9 jaren geleden
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 jaren geleden
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 jaren geleden
AUTHORS 41c52d60fe Spatial Transformer model 10 jaren geleden
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 10 jaren geleden
LICENSE 7c41e653dc Update LICENSE 10 jaren geleden
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 9 jaren geleden

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.