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.

Aaron Hu 0594661a20 Python3 dict.values() does not return a list 9 年之前
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 年之前
autoencoder a472ac9525 merged changes from #25 9 年之前
compression 76739168f6 Initial commit of compression models. (#402) 9 年之前
im2txt e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" 9 年之前
inception e93fdccac0 Revert "Use open() instead of tf.gfile.FastGFile()" 9 年之前
lm_1b fdc4ce37a4 Fix README 9 年之前
namignizer 76f567df5f add the namignizer model (#147) 9 年之前
neural_gpu a803bf4171 Add to neural_gpu documentation. 9 年之前
privacy c711dc707e added private learning with multiple teachers (#331) 9 年之前
resnet cdaa9b23d2 Merge pull request #355 from mfigurnov/refactor-precision 9 年之前
slim 0594661a20 Python3 dict.values() does not return a list 9 年之前
swivel 857226896e remove unneeded assignment 9 年之前
syntaxnet 51238b1b52 Updates to syntaxnet, including update tensorflow sub-module, bazel requirement and fix trainer crash (#479) 9 年之前
textsum 85836119d8 Add example code of binary/text data conversion. 9 年之前
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 9 年之前
video_prediction d67ea24901 video prediction model code 9 年之前
.gitignore 3e6caf5ff0 Add a .gitignore file. (#164) 9 年之前
.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) 9 年之前
AUTHORS 41c52d60fe Spatial Transformer model 9 年之前
CONTRIBUTING.md d84df16bc3 fixed contribution guidelines 9 年之前
LICENSE 7c41e653dc Update LICENSE 9 年之前
README.md 4f9d102483 Open source the image-to-text model based on the "Show and Tell" paper. 9 年之前

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.