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.

Weixin Wang 9dd85db269 Fix comment of parameter "output_codes" преди 9 години
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) преди 9 години
autoencoder a472ac9525 merged changes from #25 преди 10 години
compression 9dd85db269 Fix comment of parameter "output_codes" преди 9 години
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" преди 9 години
inception e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" преди 9 години
lm_1b fdc4ce37a4 Fix README преди 9 години
namignizer 76f567df5f add the namignizer model (#147) преди 9 години
neural_gpu a803bf4171 Add to neural_gpu documentation. преди 9 години
privacy c711dc707e added private learning with multiple teachers (#331) преди 9 години
resnet cdaa9b23d2 Merge pull request #355 from mfigurnov/refactor-precision преди 9 години
slim 253ca4ab81 fix resize image throughout преди 9 години
swivel 857226896e remove unneeded assignment преди 9 години
syntaxnet 51238b1b52 Updates to syntaxnet, including update tensorflow sub-module, bazel requirement and fix trainer crash (#479) преди 9 години
textsum 85836119d8 Add example code of binary/text data conversion. преди 9 години
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) преди 9 години
video_prediction d67ea24901 video prediction model code преди 9 години
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) преди 9 години
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) преди 10 години
AUTHORS 41c52d60fe Spatial Transformer model преди 10 години
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines преди 10 години
LICENSE 7c41e653dc Update LICENSE преди 10 години
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. преди 9 години

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.