pps121/awesome_tensorflow_implementations

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]
• [paper]

Sequence to Sequence -- chatbot

• Oriol Vinyals, Quoc V. Le, arxiv, 2015
• [code]
• [paper]

Show and Tell: A Neural Image Caption Generator

• Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan, arxiv, 2015
• [code]
• [paper]

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]
• [paper]

Learning Deep Features for Discriminative Localization

• Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba, CVPR, 2016
• [code]
• [paper]

Deep Visual Analogy-Making

• Scott Reed, Yi Zhang, Yuting Zhang, Honglak Lee, NIPS, 2015
• [code]
• [paper]

Deep Convolutional Generative Adversarial Networks

• Alec Radford, Luke Metz, Soumith Chintala, arxiv, 2015
• [code]
• [paper]

End-To-End Memory Networks

• Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus, NIPS, 2015
• [code]
• [paper]

Character-Aware Neural Language Models

• Yoon Kim, Yacine Jernite, David Sontag, Alexander M. Rush, AAAI, 2016
• [code]
• [paper]

Deep Reinforcement Learning

Human-level control through deep reinforcement learning

• Volodymyr Mnih, et al, 2014
• [code1], not trained on atari
• [code2]
• [paper]

Deep Reinforcement Learning with Double Q-learning

• Hado van Hasselt, Arthur Guez, David Silver, 2015
• [code]
• [paper]

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]
• [report]

Semi-Supervised Learning with Ladder Network

• A Rasmus, H Valpola, M Honkala, M Berglund, and T Raiko, NIPS, 2015
• [code]
• [paper]
• [Additional Material]

Convolutional Neural Networks for Sentence Classification

• Yoon Kim, EMNLP, 2014
• [code]
• [paper]
• [Additional Material]

Deep Residual Learning for Image Recognition

• K He, X Zhang, S Ren, J Sun
• [code] for cifar10
• [paper1], [paper2]

colornet - Neural Network to colorize grayscale images

• pavelgonchar
• [github page]
• [paper1 - Hypercolumns for Object Segmentation and Fine-grained Localization]
• [paper2 - VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION]
• [explanation]

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]
• [paper]

A Neural Algorithm of Artistic Style

• Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
• [code - Neural style in TensorFlow!]
• [blog - http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/]
• [A Neural Algorithm of Artistic Style]

Sequence Generative Adversarial Networks

• Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
• [code]
• [paper]

Contribution

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