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.

Justine Tunney e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" vor 9 Jahren
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) vor 9 Jahren
autoencoder a472ac9525 merged changes from #25 vor 10 Jahren
compression 76739168f6 Initial commit of compression models. (#402) vor 9 Jahren
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" vor 9 Jahren
inception e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" vor 9 Jahren
lm_1b fdc4ce37a4 Fix README vor 9 Jahren
namignizer 76f567df5f add the namignizer model (#147) vor 9 Jahren
neural_gpu a803bf4171 Add to neural_gpu documentation. vor 9 Jahren
privacy c711dc707e added private learning with multiple teachers (#331) vor 9 Jahren
resnet cdaa9b23d2 Merge pull request #355 from mfigurnov/refactor-precision vor 9 Jahren
slim 253ca4ab81 fix resize image throughout vor 9 Jahren
swivel 857226896e remove unneeded assignment vor 9 Jahren
syntaxnet 51238b1b52 Updates to syntaxnet, including update tensorflow sub-module, bazel requirement and fix trainer crash (#479) vor 9 Jahren
textsum 85836119d8 Add example code of binary/text data conversion. vor 9 Jahren
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) vor 9 Jahren
video_prediction d67ea24901 video prediction model code vor 9 Jahren
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) vor 9 Jahren
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) vor 10 Jahren
AUTHORS 41c52d60fe Spatial Transformer model vor 10 Jahren
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines vor 10 Jahren
LICENSE 7c41e653dc Update LICENSE vor 10 Jahren
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. vor 9 Jahren

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.