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.

Andrew Selle 6344793996 Update concat_v2 to be concat to match 1.0 final преди 8 години
.github dc7791d01c Create ISSUE_TEMPLATE.md (#124) преди 9 години
autoencoder a472ac9525 merged changes from #25 преди 9 години
compression e8adaffd4b Modify compression tools to be Python3 compatible. преди 8 години
differential_privacy 9e9aa5d1dc Update deep_cnn.py преди 8 години
im2txt 2cd62f6c6d Merge pull request #842 from tae-jun/patch-1 преди 8 години
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. преди 8 години
lm_1b fdc4ce37a4 Fix README преди 9 години
namignizer 76f567df5f add the namignizer model (#147) преди 9 години
neural_gpu a046ec81d7 Corrections and explanations for the updated Neural GPU model. преди 8 години
neural_programmer 1634a9df0d Merge pull request #811 from devanshdalal/patch-1 преди 8 години
next_frame_prediction ba986cfcb0 Add cross conv model for next frame prediction. преди 9 години
real_nvp e871d29598 Real NVP code преди 8 години
resnet 6344793996 Update concat_v2 to be concat to match 1.0 final преди 8 години
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street f4161b6fc1 Update vgsl_model.py преди 8 години
swivel f3144eb061 Add sys.stdout.flush() преди 9 години
syntaxnet d66941ac44 Sync w TF r0.12 & Bazel 0.4.3, internal updates (#953) преди 8 години
textsum f1e8ff7c0f Update data.py преди 9 години
transformer bda41af1e9 Update cluttered_mnist.py преди 8 години
tutorials 6344793996 Update concat_v2 to be concat to match 1.0 final преди 8 години
video_prediction d67ea24901 video prediction model code преди 9 години
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.gitmodules 32ab5a58dd Adding SyntaxNet to tensorflow/models (#63) преди 9 години
AUTHORS 41c52d60fe Spatial Transformer model преди 9 години
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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