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.

Sergio Guadarrama ba5c96c2a8 Merge pull request #366 from nathansilberman/master 10 tahun lalu
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 10 tahun lalu
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inception c7217f43b0 Update README.md with helpful tip (#243) 10 tahun lalu
namignizer 76f567df5f add the namignizer model (#147) 10 tahun lalu
neural_gpu a803bf4171 Add to neural_gpu documentation. 10 tahun lalu
privacy c711dc707e added private learning with multiple teachers (#331) 10 tahun lalu
resnet a591478c76 Add resnet model. (#273) 10 tahun lalu
slim 65fad62dc6 Full code refactor and added all networks 10 tahun lalu
swivel 857226896e remove unneeded assignment 10 tahun lalu
syntaxnet bc0a0a8651 Clone commande do not get submodules recursively (#320) 10 tahun lalu
textsum 25274f7cc4 typo fix (#353) 10 tahun lalu
transformer d816971032 Use tf.softmax_cross_entropy_with_logits to calculate loss (#181) 10 tahun lalu
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AUTHORS 41c52d60fe Spatial Transformer model 10 tahun lalu
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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 -- TensorFlow implementation of 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