https://github.com/TensorFlowKR/awesome_tensorflow_implementations

https://github.com/TensorFlowKR/awesome_tensorflow_implementations

List: awesome_tensorflow_implementations

Last synced: 20 days ago
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• Host: GitHub
• URL: https://github.com/TensorFlowKR/awesome_tensorflow_implementations
• Owner: TensorFlowKR
• Created: 2016-04-07T10:01:17.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2016-11-25T07:16:19.000Z (over 9 years ago)
• Last Synced: 2025-11-08T03:01:46.343Z (4 months ago)
• Size: 12.7 KB
• Stars: 647
• Watchers: 95
• Forks: 173
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• Awesome-Code - Awesome Tensorflow Implementations

README

          
# Awesome Tensorflow Implementations

#### Very simple TensorFlow examples

* Code: https://github.com/nlintz/TensorFlow-Tutorials

#### Sequence to Sequence -- Video to Text

* Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko, arxiv, 2015

* [[code](https://github.com/jazzsaxmafia/video_to_sequence)]

* [[paper](http://arxiv.org/pdf/1505.00487v3.pdf)]

#### Sequence to Sequence -- chatbot

* Oriol Vinyals, Quoc V. Le, arxiv, 2015

* [[code](https://github.com/nicolas-ivanov/tf_seq2seq_chatbot)]

* [[paper](http://arxiv.org/pdf/1506.05869v1.pdf)]

#### Show and Tell: A Neural Image Caption Generator

* Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan, arxiv, 2015

* [[code](https://github.com/jazzsaxmafia/show_and_tell.tensorflow)]

* [[paper](http://arxiv.org/pdf/1411.4555v2.pdf)]

#### Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

* Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, Yoshua Bengio, ICLR, 2014

* [[code](https://github.com/jazzsaxmafia/show_attend_and_tell.tensorflow)]

* [[paper](http://arxiv.org/pdf/1502.03044.pdf)]

#### Learning Deep Features for Discriminative Localization

* Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba, CVPR, 2016

* [[code](https://github.com/jazzsaxmafia/Weakly_detector)]

* [[paper](http://arxiv.org/pdf/1512.04150v1.pdf)]

#### Deep Visual Analogy-Making

* Scott Reed, Yi Zhang, Yuting Zhang, Honglak Lee, NIPS, 2015

* [[code](https://github.com/carpedm20/visual-analogy-tensorflow)]

* [[paper](http://www-personal.umich.edu/~reedscot/nips2015.pdf)]

#### Deep Convolutional Generative Adversarial Networks

* Alec Radford, Luke Metz, Soumith Chintala, arxiv, 2015

* [[code](https://github.com/carpedm20/DCGAN-tensorflow)]

* [[paper](http://arxiv.org/pdf/1511.06434v2.pdf)]

#### End-To-End Memory Networks

* Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus, NIPS, 2015

* [[code](https://github.com/carpedm20/MemN2N-tensorflow)]

* [[paper](http://arxiv.org/pdf/1503.08895v4.pdf)]

#### Character-Aware Neural Language Models

* Yoon Kim, Yacine Jernite, David Sontag, Alexander M. Rush, AAAI, 2016

* [[code](https://github.com/carpedm20/lstm-char-cnn-tensorflow)]

* [[paper](http://arxiv.org/pdf/1508.06615v4.pdf)]

#### Deep Reinforcement Learning

##### Human-level control through deep reinforcement learning

* Volodymyr Mnih,	et al, 2014

* [[code1](https://github.com/nivwusquorum/tensorflow-deepq)], not trained on atari

* [[code2](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/Atari2600)]

* [[paper](http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html)]

##### Deep Reinforcement Learning with Double Q-learning

* Hado van Hasselt, Arthur Guez, David Silver, 2015

* [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/Atari2600)]

* [[paper](http://arxiv.org/abs/1509.06461)]

#### Using Deep Q-Network to Learn How To Play Flappy Bird

* Kevin Chen, Deep Reinforcement Learning for Flappy Bird, Report from http://cs229.stanford.edu/ 2015 project

* [[code](https://github.com/DeepLearningProjects/DeepLearningFlappyBird)]

* [[report](http://cs229.stanford.edu/proj2015/362_report.pdf)]

#### Semi-Supervised Learning with Ladder Network

 *  A Rasmus, H Valpola, M Honkala, M Berglund, and T Raiko, NIPS, 2015

 * [[code](https://github.com/rinuboney/ladder)]

 * [[paper](https://papers.nips.cc/paper/5947-semi-supervised-learning-with-ladder-networks.pdf)]

 * [[Additional Material](http://rinuboney.github.io/2016/01/19/ladder-network.html)]

#### Convolutional Neural Networks for Sentence Classification

 * Yoon Kim, EMNLP, 2014

 * [[code](https://github.com/dennybritz/cnn-text-classification-tf)]

 * [[paper](http://emnlp2014.org/papers/pdf/EMNLP2014181.pdf)]

 * [[Additional Material](http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/)]

#### Deep Residual Learning for Image Recognition

 * K He, X Zhang, S Ren, J Sun

 * [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/ResNet)] for cifar10

 * [[paper1](http://arxiv.org/abs/1512.03385)], [[paper2](http://arxiv.org/abs/1603.05027)]

#### colornet - Neural Network to colorize grayscale images

 * pavelgonchar

 * [[github page](https://github.com/pavelgonchar/colornet)]

 * [[paper1 - Hypercolumns for Object Segmentation and Fine-grained Localization](http://arxiv.org/pdf/1411.5752v2.pdf)]

 * [[paper2 - VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION](http://arxiv.org/pdf/1409.1556.pdf)]

 * [[explanation](http://tinyclouds.org/colorize/)]

 

#### DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

 * Shuchang Zhou, Zekun Ni, Xinyu Zhou, He Wen, Yuxin Wu, Yuheng Zou, 2016

 * [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/DoReFa-Net)]

 * [[paper](http://arxiv.org/abs/1606.06160)]

### A Neural Algorithm of Artistic Style

 * Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

 * [[code - Neural style in TensorFlow!](https://github.com/anishathalye/neural-style)]

 * [[blog - http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/](http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/)]

 * [[A Neural Algorithm of Artistic Style](http://arxiv.org/abs/1508.06576)]

### Sequence Generative Adversarial Networks

 * Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

 * [[code](https://github.com/LantaoYu/SeqGAN)]

 * [[paper](https://arxiv.org/abs/1609.05473)]

## Contribution

Did you find new TensorFlow implementations? Pull requests are always welcome.