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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.

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piper a2986acc1a correct order of argument for tf.image.resize_image_with_crop_or_pad 8 rokov pred
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) 9 rokov pred
autoencoder a472ac9525 merged changes from #25 9 rokov pred
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inception e5079c8390 Update inception model based on tf API changes: replace tf.op_scope with tf.name_scope and tf.variable_op_scope with tf.variable_scope; fix the order of arguments for tf.concat; replace tf.mul with tf.multiply. 8 rokov pred
lm_1b fdc4ce37a4 Fix README 9 rokov pred
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video_prediction d67ea24901 video prediction model code 9 rokov pred
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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
  • differential_privacy -- privacy-preserving student models from multiple teachers
  • im2txt -- image-to-text neural network for image captioning.
  • inception -- deep convolutional networks for computer vision
  • namignizer -- recognize and generate names
  • neural_gpu -- highly parallel neural computer
  • neural_programmer -- neural network augmented with logic and mathematic operations.
  • 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