{"id":44902939,"url":"https://github.com/TensorFlowKR/awesome_tensorflow_implementations","last_synced_at":"2026-03-02T15:00:33.808Z","repository":{"id":201812997,"uuid":"55684021","full_name":"TensorFlowKR/awesome_tensorflow_implementations","owner":"TensorFlowKR","description":null,"archived":false,"fork":false,"pushed_at":"2016-11-25T07:16:19.000Z","size":13,"stargazers_count":647,"open_issues_count":0,"forks_count":173,"subscribers_count":95,"default_branch":"master","last_synced_at":"2025-11-08T03:01:46.343Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/TensorFlowKR.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2016-04-07T10:01:17.000Z","updated_at":"2025-08-23T12:04:47.000Z","dependencies_parsed_at":"2024-02-17T21:49:08.757Z","dependency_job_id":null,"html_url":"https://github.com/TensorFlowKR/awesome_tensorflow_implementations","commit_stats":null,"previous_names":["tensorflowkr/awesome_tensorflow_implementations"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/TensorFlowKR/awesome_tensorflow_implementations","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensorFlowKR%2Fawesome_tensorflow_implementations","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensorFlowKR%2Fawesome_tensorflow_implementations/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensorFlowKR%2Fawesome_tensorflow_implementations/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensorFlowKR%2Fawesome_tensorflow_implementations/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TensorFlowKR","download_url":"https://codeload.github.com/TensorFlowKR/awesome_tensorflow_implementations/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensorFlowKR%2Fawesome_tensorflow_implementations/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30007043,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-02T14:08:50.421Z","status":"ssl_error","status_checked_at":"2026-03-02T14:08:50.037Z","response_time":60,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-02-17T22:01:18.263Z","updated_at":"2026-03-02T15:00:33.802Z","avatar_url":"https://github.com/TensorFlowKR.png","language":null,"readme":"# Awesome Tensorflow Implementations\r\n\r\n#### Very simple TensorFlow examples\r\n* Code: https://github.com/nlintz/TensorFlow-Tutorials\r\n\r\n#### Sequence to Sequence -- Video to Text\r\n* Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko, arxiv, 2015\r\n* [[code](https://github.com/jazzsaxmafia/video_to_sequence)]\r\n* [[paper](http://arxiv.org/pdf/1505.00487v3.pdf)]\r\n\r\n#### Sequence to Sequence -- chatbot\r\n* Oriol Vinyals, Quoc V. Le, arxiv, 2015\r\n* [[code](https://github.com/nicolas-ivanov/tf_seq2seq_chatbot)]\r\n* [[paper](http://arxiv.org/pdf/1506.05869v1.pdf)]\r\n\r\n#### Show and Tell: A Neural Image Caption Generator\r\n* Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan, arxiv, 2015\r\n* [[code](https://github.com/jazzsaxmafia/show_and_tell.tensorflow)]\r\n* [[paper](http://arxiv.org/pdf/1411.4555v2.pdf)]\r\n\r\n#### Show, Attend and Tell: Neural Image Caption Generation with Visual Attention\r\n* Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, Yoshua Bengio, ICLR, 2014\r\n* [[code](https://github.com/jazzsaxmafia/show_attend_and_tell.tensorflow)]\r\n* [[paper](http://arxiv.org/pdf/1502.03044.pdf)]\r\n\r\n#### Learning Deep Features for Discriminative Localization\r\n* Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba, CVPR, 2016\r\n* [[code](https://github.com/jazzsaxmafia/Weakly_detector)]\r\n* [[paper](http://arxiv.org/pdf/1512.04150v1.pdf)]\r\n\r\n#### Deep Visual Analogy-Making\r\n* Scott Reed, Yi Zhang, Yuting Zhang, Honglak Lee, NIPS, 2015\r\n* [[code](https://github.com/carpedm20/visual-analogy-tensorflow)]\r\n* [[paper](http://www-personal.umich.edu/~reedscot/nips2015.pdf)]\r\n\r\n#### Deep Convolutional Generative Adversarial Networks\r\n* Alec Radford, Luke Metz, Soumith Chintala, arxiv, 2015\r\n* [[code](https://github.com/carpedm20/DCGAN-tensorflow)]\r\n* [[paper](http://arxiv.org/pdf/1511.06434v2.pdf)]\r\n\r\n#### End-To-End Memory Networks\r\n* Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus, NIPS, 2015\r\n* [[code](https://github.com/carpedm20/MemN2N-tensorflow)]\r\n* [[paper](http://arxiv.org/pdf/1503.08895v4.pdf)]\r\n\r\n#### Character-Aware Neural Language Models\r\n* Yoon Kim, Yacine Jernite, David Sontag, Alexander M. Rush, AAAI, 2016\r\n* [[code](https://github.com/carpedm20/lstm-char-cnn-tensorflow)]\r\n* [[paper](http://arxiv.org/pdf/1508.06615v4.pdf)]\r\n\r\n#### Deep Reinforcement Learning\r\n##### Human-level control through deep reinforcement learning\r\n* Volodymyr Mnih,\tet al, 2014\r\n* [[code1](https://github.com/nivwusquorum/tensorflow-deepq)], not trained on atari\r\n* [[code2](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/Atari2600)]\r\n* [[paper](http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html)]\r\n\r\n##### Deep Reinforcement Learning with Double Q-learning\r\n* Hado van Hasselt, Arthur Guez, David Silver, 2015\r\n* [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/Atari2600)]\r\n* [[paper](http://arxiv.org/abs/1509.06461)]\r\n\r\n#### Using Deep Q-Network to Learn How To Play Flappy Bird\r\n* Kevin Chen, Deep Reinforcement Learning for Flappy Bird, Report from http://cs229.stanford.edu/ 2015 project\r\n* [[code](https://github.com/DeepLearningProjects/DeepLearningFlappyBird)]\r\n* [[report](http://cs229.stanford.edu/proj2015/362_report.pdf)]\r\n\r\n#### Semi-Supervised Learning with Ladder Network\r\n *  A Rasmus, H Valpola, M Honkala, M Berglund, and T Raiko, NIPS, 2015\r\n * [[code](https://github.com/rinuboney/ladder)]\r\n * [[paper](https://papers.nips.cc/paper/5947-semi-supervised-learning-with-ladder-networks.pdf)]\r\n * [[Additional Material](http://rinuboney.github.io/2016/01/19/ladder-network.html)]\r\n\r\n\r\n#### Convolutional Neural Networks for Sentence Classification\r\n * Yoon Kim, EMNLP, 2014\r\n * [[code](https://github.com/dennybritz/cnn-text-classification-tf)]\r\n * [[paper](http://emnlp2014.org/papers/pdf/EMNLP2014181.pdf)]\r\n * [[Additional Material](http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/)]\r\n\r\n#### Deep Residual Learning for Image Recognition\r\n * K He, X Zhang, S Ren, J Sun\r\n * [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/ResNet)] for cifar10\r\n * [[paper1](http://arxiv.org/abs/1512.03385)], [[paper2](http://arxiv.org/abs/1603.05027)]\r\n\r\n#### colornet - Neural Network to colorize grayscale images\r\n * pavelgonchar\r\n * [[github page](https://github.com/pavelgonchar/colornet)]\r\n * [[paper1 - Hypercolumns for Object Segmentation and Fine-grained Localization](http://arxiv.org/pdf/1411.5752v2.pdf)]\r\n * [[paper2 - VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION](http://arxiv.org/pdf/1409.1556.pdf)]\r\n * [[explanation](http://tinyclouds.org/colorize/)]\r\n \r\n#### DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients\r\n * Shuchang Zhou, Zekun Ni, Xinyu Zhou, He Wen, Yuxin Wu, Yuheng Zou, 2016\r\n * [[code](https://github.com/ppwwyyxx/tensorpack/tree/master/examples/DoReFa-Net)]\r\n * [[paper](http://arxiv.org/abs/1606.06160)]\r\n\r\n### A Neural Algorithm of Artistic Style\r\n * Leon A. Gatys, Alexander S. Ecker, Matthias Bethge\r\n * [[code - Neural style in TensorFlow!](https://github.com/anishathalye/neural-style)]\r\n * [[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/)]\r\n * [[A Neural Algorithm of Artistic Style](http://arxiv.org/abs/1508.06576)]\r\n\r\n### Sequence Generative Adversarial Networks\r\n * Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu\r\n * [[code](https://github.com/LantaoYu/SeqGAN)]\r\n * [[paper](https://arxiv.org/abs/1609.05473)]\r\n\r\n## Contribution\r\nDid you find new TensorFlow implementations? Pull requests are always welcome.\r\n\r\n","funding_links":[],"categories":["Uncategorized"],"sub_categories":["Uncategorized"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FTensorFlowKR%2Fawesome_tensorflow_implementations","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FTensorFlowKR%2Fawesome_tensorflow_implementations","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FTensorFlowKR%2Fawesome_tensorflow_implementations/lists"}