awesome-torch
Torch model builder
A curated collection of resources and examples for building deep learning models with the Torch framework
A curated list of awesome Torch tutorials, projects and communities
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Awesome Torch / Tutorials | |||
Applied Deep Learning for Computer Vision with Torch | CVPR15 Tutorial | ||
Awesome Torch / Tutorials / Applied Deep Learning for Computer Vision with Torch | |||
Deep Learning with Torch - A 60-minute blitz | 868 | almost 8 years ago | |
NNGraph - graph style neural networks | 868 | almost 8 years ago | |
Character-level Recurrent networks. An introduction to real-world nngraph RNN training | 868 | almost 8 years ago | |
Deep-Q Reinforcement learning to play Atari games | 868 | almost 8 years ago | |
Awesome Torch / Tutorials | |||
Machine Learning with Torch | for IPAM Summer School on Deep Learning | ||
Oxford Computer Science - Machine Learning 2015 | |||
Implementing LSTMs with nngraph | |||
Community Wiki (Cheatseet) for Torch | 8,998 | about 2 years ago | |
Demos & Turorials for Torch | 355 | almost 3 years ago | |
Learn Lua in 15 Minutes | |||
Torch Starter | 56 | about 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks | |||
SampleRNN (An Unconditional End-to-End Neural Audio Generation Model) | 156 | over 7 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / SampleRNN (An Unconditional End-to-End Neural Audio Generation Model) | |||
[Paper] | Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, Yoshua Bengio, , | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Learning Simple Algorithms from Examples | 180 | almost 9 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Learning Simple Algorithms from Examples | |||
[Paper] | Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus, , arXiv:1511.07275 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
SCRNN (Structurally Constrained Recurrent Neural Network) | 169 | almost 7 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / SCRNN (Structurally Constrained Recurrent Neural Network) | |||
[Paper] | Tomas Mikolov, Armand Joulin, Sumit Chopra, Michael Mathieu, Marc'Aurelio Ranzato, , arXiv:1406.1078 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Tree-LSTM (Tree-structured Long Short-Term Memory networks) | 875 | over 7 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Tree-LSTM (Tree-structured Long Short-Term Memory networks) | |||
[Paper] | Kai Sheng Tai, Richard Socher, Christopher D. Manning, , ACL 2015 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
LSTM language model with CNN over characters | 826 | about 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / LSTM language model with CNN over characters | |||
[Paper] | Yoon Kim, Yacine Jernite, David Sontag, Alexander M. Rush, , AAAI 2016, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
LSTM, GRU, RNN for character-level language (char-rnn) | 11,632 | about 1 year ago | , |
Awesome Torch / Model Zoo / Recurrent Networks / LSTM, GRU, RNN for character-level language (char-rnn) | |||
[Paper] | Andrej Karpathy, Justin Johnson, Li Fei-Fei, , ICLR 2016, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
LSTM for word-level language model | 664 | about 6 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / LSTM for word-level language model | |||
[Paper] | Wojciech Zaremba, Ilya Sutskever, Oriol Vinyal, , arXiv:1409.2329 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
LSTM | 480 | over 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / LSTM | |||
[Paper] | Wojciech Zaremba, Ilya Sutskever, , arXiv:1410.4615 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
NeuralTalk2 (Show and Tell) | 5,511 | about 7 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / NeuralTalk2 (Show and Tell) | |||
[Paper] | (#) Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan, , CVPR 2015 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Seq2Seq | 777 | over 3 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Seq2Seq | |||
[Paper] | (#) Ilya Sutskever, Oriol Vinyals, Quoc V. Le, , NIPS 2014 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
sentence2vec | 22 | almost 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / sentence2vec | |||
[Paper] | (#) Ilya Sutskever, Oriol Vinyals, Quoc V. Le, , NIPS 2014 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
LSTM (Sequence to Sequence Learning with Neural Networks) | 25 | about 9 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / LSTM (Sequence to Sequence Learning with Neural Networks) | |||
[Paper] | (#) Ilya Sutskever, Oriol Vinyals, Quoc V. Le, , NIPS 2014 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Grid LSTM | |||
Awesome Torch / Model Zoo / Recurrent Networks / Grid LSTM | |||
[Paper] | (#) Nal Kalchbrenner, Ivo Danihelka, Alex Graves, , arXiv:1507.01526, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Recurrent Visual Attention Model | 941 | almost 7 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Recurrent Visual Attention Model | |||
[Paper] | (#) Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu, , NIPS 2014 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
DRAW (Deep Recurrent Attentive Writer) | 137 | about 9 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / DRAW (Deep Recurrent Attentive Writer) | |||
[Paper] | (#) Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra, , arXiv:1502.04623 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Pixel rnn | 76 | over 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Pixel rnn | |||
[Paper] | (#) Aaron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu, , arXiv:1601.06759 | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Deeper LSTM+ normalized CNN for Visual Question Answering | 376 | over 5 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Deeper LSTM+ normalized CNN for Visual Question Answering | |||
[Paper] | Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Dhruv Batra, Devi Parikh, , arXiv:1505.00468, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
CTCSpeechRecognition | 259 | over 7 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / CTCSpeechRecognition | |||
[Paper] | Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu, , arXiv:1512.02595, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
DenseCap | 1,584 | over 6 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / DenseCap | |||
[Paper] | Justin Johnson, Andrej Karpathy, Li Fei-Fei, , CVPR 2016, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Sequence-to-Sequence Learning with Attentional Neural Networks | 1,260 | almost 4 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Sequence-to-Sequence Learning with Attentional Neural Networks | |||
[Paper] | (#) Minh-Thang Luong, Hieu Pham, Christopher D. Manning, , EMNLP 2015, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Recurrent Batch Normalization | 92 | over 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Recurrent Batch Normalization | |||
[Paper] | (#) Tim Cooijmans, Nicolas Ballas, César Laurent, Çağlar Gülçehre, Aaron Courville, , arXiv:1603.09025, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
End-to-End Generative Dialogue | 139 | over 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / End-to-End Generative Dialogue | |||
[Paper] | Colton Gyulay, Michael Farrell, * End-to-End Generative Dialogue*, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
ActivityNet | 54 | over 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / ActivityNet | |||
[Paper] | Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem and Juan Carlos Niebles, , CVPR 2015, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
SCRNNs | 169 | almost 7 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / SCRNNs | |||
[Paper] | Tomas Mikolov, Armand Joulin, Sumit Chopra, Michael Mathieu, Marc'Aurelio Ranzato, , arXiv:1412.7753, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
Hierarchical Question-Image Co-Attention for Visual Question Answering | 349 | about 6 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / Hierarchical Question-Image Co-Attention for Visual Question Answering | |||
[Paper] | Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh, , arXiv:1606.00061, | ||
Awesome Torch / Model Zoo / Recurrent Networks | |||
ConvLSTM | 292 | over 8 years ago | |
Awesome Torch / Model Zoo / Recurrent Networks / ConvLSTM | |||
[Paper] | Viorica Patraucean, Ankur Handa, Roberto Cipolla, , ICLR 2016 Workshop, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Crepe (Character-level Convolutional Networks for Text Classification) | 848 | over 5 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Crepe (Character-level Convolutional Networks for Text Classification) | |||
[Paper] | Xiang Zhang, Junbo Zhao, Yann LeCun, , NIPS 2015 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
DCGAN (Deep Convolutional Generative Adversarial Networks) | 1,458 | over 3 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / DCGAN (Deep Convolutional Generative Adversarial Networks) | |||
[Paper] | (#) Alec Radford, Luke Metz, Soumith Chintala, , arXiv:1511.06434v1 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Inception | 66 | almost 9 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Inception | |||
[Paper] | (#) Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, , CVPR 2015 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
inception-v3.torch | 131 | over 7 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / inception-v3.torch | |||
[Paper] | (#) Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna, , arXiv:1512.00567, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
The inception-resnet-v2 models trained from scratch via torch | 52 | about 6 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / The inception-resnet-v2 models trained from scratch via torch | |||
[Paper] | 52 | about 6 years ago | (#) Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, , arXiv:1602.07261, |
Awesome Torch / Model Zoo / Convolutional Networks | |||
OpenFace (Face recognition with Google's FaceNet deep neural network) | 15,145 | about 2 months ago | |
Awesome Torch / Model Zoo / Convolutional Networks / OpenFace (Face recognition with Google's FaceNet deep neural network) | |||
[Paper] | (#) Florian Schroff, Dmitry Kalenichenko, James Philbin, , CVPR 2015 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Neural Style | 18,312 | over 6 years ago | , |
Awesome Torch / Model Zoo / Convolutional Networks / Neural Style | |||
[Paper] | (#) Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, , arXiv:1508.06576 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
SRCNN (Super-Resolution Using Deep Convolutional Networks), waifu2x | 27,571 | over 1 year ago | |
Awesome Torch / Model Zoo / Convolutional Networks / SRCNN (Super-Resolution Using Deep Convolutional Networks), waifu2x | |||
[Paper] | (#) Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang, , arXiv:1501.00092 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Overfeat | 44 | over 8 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Overfeat | |||
[Paper] | (#) Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, Yann LeCun, , arXiv:1312.6229 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Very Deep ConvNet (Very Deep Convolutional Networks) | 246 | over 8 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Very Deep ConvNet (Very Deep Convolutional Networks) | |||
[Paper] | (#) K. Simonyan, A. Zisserman, , arXiv:1409.1556 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Alexnet, Overfeat, VGG in Torch on multiple GPUs over ImageNet | 402 | over 7 years ago | |
Fast neural doodle | 346 | over 6 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Fast neural doodle | |||
[Paper] | (#) Alex J. Champandard , arXiv:1603.01768 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images | 1,224 | almost 7 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Texture Networks: Feed-forward Synthesis of Textures and Stylized Images | |||
[Paper] | Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, Victor Lempitsky , arXiv:1603.03417 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Artistic style transfer for videos | 1,750 | almost 7 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Artistic style transfer for videos | |||
[Paper] | Manuel Ruder, Alexey Dosovitskiy, Thomas Brox , arXiv:1604.08610 | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
ResNet training in Torch | 2,296 | about 2 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / ResNet training in Torch | |||
[Paper] | (#) Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, , arXiv:1512.03385, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Deep Networks with Stochastic Depth | 477 | over 6 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Deep Networks with Stochastic Depth | |||
[Paper] | Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Weinberger, , arXiv:1603.09382, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Sentence Convolution Code in Torch | 449 | almost 5 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Sentence Convolution Code in Torch | |||
[Paper] | (#) Yoon Kim, , arXiv:1408.5882, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
MGANs | 294 | about 5 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / MGANs | |||
[Paper] | Chuan Li, Michael Wand, , arXiv:1604.04382, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Deep Residual Networks with 1K Layers | 906 | over 7 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Deep Residual Networks with 1K Layers | |||
[Paper] | Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, , arXiv:1603.05027, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Multi-Scale Context Aggregation by Dilated Convolutions | 1,343 | almost 4 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Multi-Scale Context Aggregation by Dilated Convolutions | |||
[Paper] | (#) Fisher Yu, Vladlen Koltun, , | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
CNNMRF | 865 | about 5 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / CNNMRF | |||
[Paper] | Chuan Li, Michael Wand, , arXiv:1601.04589, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Stacked Hourglass Networks for Human Pose Estimation (Training Code) | 574 | over 7 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Stacked Hourglass Networks for Human Pose Estimation (Training Code) | |||
[Paper] | Alejandro Newell, Kaiyu Yang, Jia Deng, , arXiv:1603.06937, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Wide Residual Networks | 1,298 | over 5 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Wide Residual Networks | |||
[Paper] | Sergey Zagoruyko, Nikos Komodakis, , , arXiv:1605.07146, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Joint Unsupervised Learning (JULE) of Deep Representations and Image Clusters | 288 | about 5 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Joint Unsupervised Learning (JULE) of Deep Representations and Image Clusters | |||
[Paper] | Jianwei Yang, Devi Parikh, Dhruv Batra, , CVPR 2016, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Torch implementation of the Fast R-CNN | 134 | over 7 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Torch implementation of the Fast R-CNN | |||
[Paper] | (#) Ross Girshick, , ICCV 2015, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Learning Deep Representations of Fine-grained Visual Descriptions | 334 | over 7 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Learning Deep Representations of Fine-grained Visual Descriptions | |||
[Paper] | Scott Reed, Zeynep Akata, Honglak Lee, Bernt Schiele, , CVPR 2016, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Generative Adversarial Text-to-Image Synthesis | 913 | about 6 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Generative Adversarial Text-to-Image Synthesis | |||
[Paper] | Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee, , ICML 2016, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
DarkForest, the Facebook Go engine | 2,100 | almost 5 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / DarkForest, the Facebook Go engine | |||
[Paper] | Yuandong Tian, Yan Zhu, , ICLR 2016, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
3D CNN | |||
Awesome Torch / Model Zoo / Convolutional Networks / 3D CNN | |||
[Paper] | Qi, Charles R and Su, Hao and Niessner, Matthias and Dai, Angela and Yan, Mengyuan and Guibas, Leonidas J, , arXiv preprint arXiv:1604.03265, 2016, , | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
deepmask | 3,114 | almost 6 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / deepmask | |||
[Paper] | Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar, , arXiv:1506.06204, | ||
[Paper] | Pedro O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollàr, , arXiv:1603.08695, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
imagenet-multiGPU.torchnet | 4 | almost 8 years ago | |
cvpr2016_stylenet | 69 | over 8 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / cvpr2016_stylenet | |||
[Paper] | Edgar Simo-Serra, Hiroshi Ishikawa, , CVPR 2016, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
ENet | 351 | over 7 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / ENet | |||
[Paper] | Adam Paszke, Abhishek Chaurasia, Sangpil Kim, Eugenio Culurciello, , arXiv:1606.02147, | ||
Awesome Torch / Model Zoo / Convolutional Networks | |||
Oriented Response Networks | 223 | over 2 years ago | |
Awesome Torch / Model Zoo / Convolutional Networks / Oriented Response Networks | |||
[Paper] | Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao, , CVPR 2017, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Deep Q-network | , | ||
Awesome Torch / Model Zoo / Reinforcement Learning / Deep Q-network | |||
[Paper] | Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis, , Nature, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Deep Attention Recurrent Q-Network | 115 | about 9 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Deep Attention Recurrent Q-Network | |||
[Paper] | (#) Ivan Sorokin, Alexey Seleznev, Mikhail Pavlov, Aleksandr Fedorov, Anastasiia Ignateva, , NIPS 2015, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Grid World DQN using torch7 | 29 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Grid World DQN using torch7 | |||
[Paper] | (#) Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip S. Thomas, Rémi Munos, , arXiv:1512.04860, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Deep Q-Networks for Accelerating the Training of Deep Neural Networks | |||
Awesome Torch / Model Zoo / Reinforcement Learning / Deep Q-Networks for Accelerating the Training of Deep Neural Networks | |||
[Paper] | Jie Fu, Zichuan Lin, Miao Liu, Nicholas Leonard, Jiashi Feng, Tat-Seng Chua, , arXiv:1606.01467, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
ActorMimic | 71 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / ActorMimic | |||
[Paper] | Emilio Parisotto, Jimmy Lei Ba, Ruslan Salakhutdinov, , ICLR 2016, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
MazeBase: a sandbox for learning from games | 245 | about 5 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / MazeBase: a sandbox for learning from games | |||
[Paper] | Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus, , arXiv:1511.07401, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
mario-ai | 683 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / mario-ai | |||
Atari paper | This project contains code to train a model that automatically plays the first level of Super Mario World using only raw pixels as the input (no hand-engineered features).The used technique is deep Q-learning, as described in the ( ), combined with a | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Deep Successor Reinforcement Learning (DSR) | 98 | about 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Deep Successor Reinforcement Learning (DSR) | |||
[Paper] | Tejas D. Kulkarni, Ardavan Saeedi, Simanta Gautam, Samuel J. Gershman, , arXiv:1606.02396, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
ViZDoom | 1,740 | 2 months ago | |
MIXER - Sequence Level Training with Recurrent Neural Networks | 332 | over 7 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / MIXER - Sequence Level Training with Recurrent Neural Networks | |||
[Paper] | Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba, , ICLR 2016, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
TorchQLearning | 50 | over 7 years ago | |
rltorch | |||
Opponent Modeling in Deep Reinforcement Learning | 71 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Opponent Modeling in Deep Reinforcement Learning | |||
[Paper] | He He, Jordan Boyd-Graber, Kevin Kwok, Hal Daumé III, , ICML 2016, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
[Paper] | Alexander M. Rush, Sumit Chopra, Jason Weston, , EMNLP 2015 | ||
Memory Networks | 1,753 | over 4 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Memory Networks | |||
[Paper] | Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus, , arXiv:1503.08895, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Neural Turing Machine | 279 | about 9 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Neural Turing Machine | |||
[Paper] | Alex Graves, Greg Wayne, Ivo Danihelka, , arXiv:1410.5401 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Eyescream (Natural Image Generation using ConvNets) | 598 | about 7 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Eyescream (Natural Image Generation using ConvNets) | |||
[Paper] | Emily Denton, Soumith Chintala, Arthur Szlam, Rob Fergus, , arXiv:1506.05751 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
BNN (Bilingual Neural Networks) with LBL and CNN | |||
Awesome Torch / Model Zoo / Reinforcement Learning / BNN (Bilingual Neural Networks) with LBL and CNN | |||
[Paper] | Ke Tran, Arianna Bisazza, Christof Monz, , EMNLP 2014 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Net2Net | 160 | almost 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Net2Net | |||
[Paper] | (#) Tianqi Chen, Ian Goodfellow, Jonathon Shlens, , arXiv:1511.05641 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
DSSM (Deep Structured Semantic Model) | 40 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / DSSM (Deep Structured Semantic Model) | |||
[Paper] | (#) Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry Heck, , CIKM 2013 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
TensorNet (Tensor Train-layer for Neural Nets) | |||
Awesome Torch / Model Zoo / Reinforcement Learning / TensorNet (Tensor Train-layer for Neural Nets) | |||
[Paper] | (#) Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, Dmitry Vetrov, , NIPS 2015 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
TripletNet | 189 | over 7 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / TripletNet | |||
[Paper] | (#) Elad Hoffer, Nir Ailon, , arXiv:1412.6622 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Word2Vec | 61 | about 9 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Word2Vec | |||
[Paper] | (#) Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean, , ICLR 2013 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
TripletLoss (used in Google's FaceNet) | 162 | about 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / TripletLoss (used in Google's FaceNet) | |||
[Paper] | (#) Florian Schroff, Dmitry Kalenichenko, James Philbin, , CVPR 2015 | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Let there be Color!: Automatic Colorization of Grayscale Images | 2,157 | over 2 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Let there be Color!: Automatic Colorization of Grayscale Images | |||
[Paper] | Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa, , SIGGRAPH 2016, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Context Encoders: Feature Learning by Inpainting | 885 | over 4 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Context Encoders: Feature Learning by Inpainting | |||
[Paper] | Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros, , CVPR 2016, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
stnbhwd | |||
Awesome Torch / Model Zoo / Reinforcement Learning / stnbhwd | |||
[Paper] | Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu, , arXiv:1506.02025, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
DrMAD | 23 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / DrMAD | |||
[Paper] | (#) Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua, , arXiv:1601.00917, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Adaptive Neural Compilation | 59 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Adaptive Neural Compilation | |||
[Paper] | Rudy Bunel, Alban Desmaison, Pushmeet Kohli, Philip H.S. Torr, M. Pawan Kumar, , arXiv:1605.07969, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
fasttext_torch | 72 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / fasttext_torch | |||
[Paper] | (#) Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, , arXiv:1607.01759, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
MemNN | 1,753 | over 4 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / MemNN | |||
[Paper] | Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus, , arXiv:1503.08895, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Variational Auto-encoder | |||
Awesome Torch / Model Zoo / Reinforcement Learning / Variational Auto-encoder | |||
[Paper] | Diederik P Kingma, Max Welling, , arXiv:1312.6114, | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
Multimodal Compact Bilinear Pooling for Torch7 | 68 | almost 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / Multimodal Compact Bilinear Pooling for Torch7 | |||
[Paper] | (#) Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach, , | ||
Awesome Torch / Model Zoo / Reinforcement Learning | |||
object-detection.torch | 116 | over 8 years ago | |
N3: Newtonian Image Understanding: Unfolding the Dynamics of Objects in Statis Images | 32 | over 8 years ago | |
Awesome Torch / Model Zoo / Reinforcement Learning / N3: Newtonian Image Understanding: Unfolding the Dynamics of Objects in Statis Images | |||
[Paper] | Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi, , CVPR 2016, | ||
Awesome Torch / Libraries / Model related | |||
[Code] | 1,343 | almost 4 years ago | nn : an easy and modular way to build and train simple or complex neural networks |
[Code] | 194 | over 7 years ago | dpnn : extensions to the nn lib, more modules |
[Code] | 97 | over 7 years ago | nnx : extension to the nn lib, experimental neural network modules and criterions |
[Code] | 100 | over 7 years ago | nninit : weight initialisation schemes |
[Code] | 941 | almost 7 years ago | rnn : Recurrent Neural Network library |
[Code] | 197 | almost 7 years ago | optim : A numeric optimization package for Torch |
[Code] | 343 | about 8 years ago | dp : a deep learning library designed for streamlining research and development |
[Code] | 299 | over 7 years ago | nngraph : provides graphical computation for library |
[Code] | 47 | over 7 years ago | nnlr : Add layer-wise learning rate schemes to Torch |
[Code] | 282 | over 7 years ago | optnet: Memory optimizations for torch neural networks |
[Code] | 560 | about 3 years ago | autograd : Autograd automatically differentiates native Torch code |
[Code] | 996 | over 5 years ago | torchnet: framework for torch which provides a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming |
Awesome Torch / Libraries / GPU related | |||
[Code] | 147 | about 6 years ago | distro-cl: An OpenCL distribution for Torch |
[Code] | 336 | about 7 years ago | cutorch : A CUDA backend for Torch |
[Code] | 417 | about 6 years ago | cudnn : Torch FFI bindings for NVIDIA CuDNN |
[Code] | 1,063 | over 7 years ago | fbcunn : Facebook's extensions to torch/cunn |
Awesome Torch / Libraries / IDE related | |||
[Code] | 1,099 | about 7 years ago | iTorch : IPython kernel for Torch with visualization and plotting |
[Code] | Lua Development Tools (LDT) : based on Eclipse | ||
[Code] | 67 | almost 9 years ago | zbs-torch : A lightweight Lua-based IDE for Lua with code completion, syntax highlighting, live coding, remote debugger, and code analyzer |
Awesome Torch / Libraries / ETC | |||
[Code] | 613 | almost 7 years ago | fblualib : Facebook libraries and utilities for Lua |
[Code] | 492 | over 7 years ago | loadcaffe : Load Caffe networks in Torch |
[Code] | 199 | almost 6 years ago | Purdue e-lab lib : A collection of snippets and libraries |
[Code] | 275 | almost 8 years ago | torch-android : Torch for Android |
[Code] | 54 | about 8 years ago | torch-models : Implementation of state-of-art models in Torch |
[Code] | 233 | almost 8 years ago | lutorpy : Lutorpy is a libray built for deep learning with torch in python |
[Code] | CoreNLP.lua : Lua client for Stanford CoreNLP | ||
[Code] | 25 | about 7 years ago | Torchlib: Data structures and libraries for Torch |
[Code] | 26 | over 8 years ago | THFFmpeg: Torch bindings for FFmpeg (reading videos only) |
[Code] | tunnel: Data Driven Framework for Distributed Computing in Torch 7, | ||
[Code] | 432 | over 7 years ago | pytorch: Python wrappers for torch and lua, |
[Code] | 233 | almost 8 years ago | lutorpy: Use torch in python for deep learning., |
[Code] | 30 | about 6 years ago | torch-pcl: Point Cloud Library (PCL) bindings for Torch, |
[Cpde] | 629 | almost 5 years ago | Moses: A Lua utility-belt library for functional programming. It complements the built-in Lua table library, making easier operations on arrays, lists, collections |
Awesome Torch / Links | |||
Google Groups for torch | |||
Gitter Chat |