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 b4cb2454d0 Merge pull request #567 from panyx0718/master 9 år sedan
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 10 år sedan
autoencoder a472ac9525 merged changes from #25 10 år sedan
compression 9dd85db269 Fix comment of parameter "output_codes" 9 år sedan
differential_privacy 107e72cc78 Add differential privacy training. 9 år sedan
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" 9 år sedan
inception 1e98256101 Merge pull request #242 from iepathos/patch-1 9 år sedan
lm_1b fdc4ce37a4 Fix README 9 år sedan
namignizer 76f567df5f add the namignizer model (#147) 10 år sedan
neural_gpu a803bf4171 Add to neural_gpu documentation. 10 år sedan
privacy c711dc707e added private learning with multiple teachers (#331) 10 år sedan
resnet cdaa9b23d2 Merge pull request #355 from mfigurnov/refactor-precision 10 år sedan
slim 31559b690e Merge pull request #556 from rohitgirdhar/slim_bug_tf11 9 år sedan
swivel 857226896e remove unneeded assignment 10 år sedan
syntaxnet 5eff490de4 Fix POS tagging score of Ling et al.(2005) 9 år sedan
textsum 7498acc6e0 Merge pull request #377 from kaiix/textsum-multigpu 9 år sedan
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 10 år sedan
video_prediction d67ea24901 video prediction model code 9 år sedan
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 10 år sedan
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 10 år sedan
AUTHORS 41c52d60fe Spatial Transformer model 10 år sedan
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 10 år sedan
LICENSE 7c41e653dc Update LICENSE 10 år sedan
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 10 år sedan

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.