Topic 7: Neural Networks and Deep Learning 4812


Title (link) Author Date Votes Error
A Survey on Deep Learning in Medical Image Analysis "Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A.W.M. van der Laak, Bram van Ginneken, Clara I. Sanchez" 2017
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Supervised sequence labelling with RNN Alex Graves 2012
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Deep Learning Ian Goodfellow and Yoshua Bengio and Aaron Courville 2016
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Few-shot Learning: A Survey YAQING WANG 2019
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Dive into Deep Learning Aston Zhang 2019
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Deep Learning on Graphs: A Survey "Ziwei Zhang, Peng Cui and Wenwu Zhu" 2018
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A Survey of Multilingual Neural Machine Translation Raj Dabre 2019
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A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers Xiang Zhang 2019
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Everything you need to know about Neural Networks Kailash Ahirwar 2017
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What is a CapsNet or Capsule Network? Debarko De 2017
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Deep models for Paraphrase and Summarization Yitong 2017
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LeNet 5, AlexNet, VGG -16 from Deeplearning.ai Shahariar Rabby 2017
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How to Win at Deep Learning Pradeep Mutalik 2017
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Solution: How to Win at Deep Learning Pradeep Mutalik 2017
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Deep Learning Book Playlist Author Unknown 2017
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How to Automatically Generate Textual Descriptions for Photographs with Deep Learning Jason Brownlee 2017
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A Gentle Intro to Transfer Learning Slav Ivanov 2017
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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data Stefan Kojouharov 2017
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Word Embeddings and Their Challenges Parsa Ghaffari 2016
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A Gentle Introduction To Neural Networks Series_- Part 1 David Fumo 2017
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Neural Components In Statistical Machine Translation Author Unknown 2017
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An Overview of ResNet and its Variants Vincent Fung 2017
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A Survey of Word Embeddings Evaluation Methods Amir Bakarov 2018
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Deep Learning: An Introduction for Applied Mathematicians Catherine F. Higham, Desmond J. Higham 2018
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Natural Language Processing Jacob Eisenstein 2018
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Non-Convex Optimization for Machine Learning Prateek Jain, Purushottam Kar 2017
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Deep Learning Ian Goodfellow and Yoshua Bengio and Aaron Courville 2016
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Machine Learning for NLP Charu C. Aggarwal 2018
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Pattern Recognition and Machine Learning Christopher M. Bishop 2006
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A Course in Machine Learning Hal Daume III 2017
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word2vec Parameter Learning Explained Xin Rong 2016
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A Probabilistic Theory of Deep Learning Ankit B. Patel, Tan Nguyen, Richard G. Baraniuk 2015
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Natural Language Understanding with Distributed Representation Kyunghyun Cho 2015
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Taxonomy of Methods for Deep Meta Learning Carlos E. Perez 2017
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Deep Learning in Neural Networks: An Overview J?rgen Schmidhuber 2014
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Recent Progress on CNNs for Object Detection and Image Compression Rahul Sukthankar 2017
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Visual Question Answering Devi Parikh 2017
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DeepAA OsciiArt 2017
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Representation Learning: A Review and New Perspectives Yoshua Bengio, Aaron Courville, Pascal Vincent 2014
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Natural Language Understanding with Distributed Representation Kyunghyun Cho 2015
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Deep Learning for Natural Language Processing Tianchuan Du, Vijay K. Shanker 2013
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Deep Learning Methods and Applications Li Deng and Dong Yu 2014
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A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg 2015
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word2vec Parameter Learning Explained Xin Rong 2015
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Neural Networks and Deep Learning Michael Nielsen 2017
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Dependency-Based Word Embeddings Omer Levy, Yoav Goldberg 2014
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A Tutorial on Deep Learning Part 1: Nonlinear Classifiers and The Backpropagation Algorithm Quoc V. Le 2015
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A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks Quoc V. Le 2015
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The Unreasonable Effectiveness of Recurrent Neural Networks Andrej Karpathy 2015
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Deep Learning, NLP, and Representations Christopher Olah 2014
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Recurrent Neural Net describes images like Taylor Swift or Romantic Novel Samlm 2015
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Recurrent Neural Networks for Language Processing Microsoft 2012
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Meet Parsey's Cousin: Syntax for 40 languages, plus new SyntaxNet capabilities Chris Alberti, Dave Orr, Slav Petrov 2016
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TensorFlow Disappoints - Google Deep Learning falls shallow Matthew Mayo 2015
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What a Deep Neural Network thinks about your #selfie Andrej Karpathy 2015
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Deep Learning For NLP In Pytorch Robert Guthrie 2017
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PyTorch tutorial Yunjey Choi 2017
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cs231n: lecture videos Andrej Karpathy 2016
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Machine Learning with TensorFlow Nishant Shukla 2017
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Practical Deep Learning For Coders, Part 1, Jeremy Howard 2016
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6.S191: Introduction to Deep Learning Nick Locascio, Harini Suresh 2017
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Neural Network Methods for Natural Language Processing Yoav Goldberg 2017
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NLP DL lecture notes NYU Kyunghyun Cho 2017
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Natural Language Processing with Deep Learning Christopher Manning, Richard Socher 2017
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Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python Sebastian Raschka 2016
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CS 224D: Deep Learning for NLP, Lecture Notes 1 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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CS 224D: Deep Learning for NLP, Lecture Notes 2 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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CS 224D: Deep Learning for NLP, Lecture Notes 5 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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Generative Learning algorithms Andrew Ng 2017
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Deep Learning Methods and Applications Li Deng, Dong Yu 2017
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Lecture Notes: Some notes on gradient descent Marc Toussaint 2012
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A Statistical View of Deep Learning Shakir Mohamed 2015
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Algorithms for Massive Data Problems Avrim Blum, John Hopcroft, Ravindran Kannan 2015
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Neural Networks and Neural Language Models Daniel Jurafsky, James H. Martin 2017
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Semi-Random Units for Learning Neural Networks with Guarantees Bo Xie, Yingyu Liang, Kenji Kawaguchi and Le Song 2017
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Symbolic memories in the brain Christos Papadimitriou 2017
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BAIR Retreat 3/28/17 Trevor Darrell 2017
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Tractable Learning in Structured Probability Spaces Adnan Darwiche 2017
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A dynamic view of the deep learning world Soumith Chintala 2017
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Neural Style Transfer: {A} Review Yongcheng Jing and Yezhou Yang and Zunlei Feng and Jingwen Ye and Mingli Song 2017
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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network Alex Sherstinsky 2018
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A Survey on Multi-output Learning Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, and Xiaobo Shen 2019
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Deep Learning & NLP Roelof Pieters 2014
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Deep Learning Tutorials Lisa Lab 2010
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Lecture Slides for the Oxford Deep Natural Language Processing Course Phil Blunsom, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Andrew Senior, Wang Ling, Jeremy Appleyard 2017
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Neural networks class - Université de Sherbrooke Hugo Larochelle 2016
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Deep learning at Oxford 2015 Nando de Freitas 2015
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Deep Learnnig at Oxford 2015 Nando de Freitas 2015
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Deep Learning with Python Francois Chollet 2017
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Deep Learning - The Straight Dope Zack Chase Lipton, Aston Zhang, Mu Li, Eric Junyuan Xie, Steffen Rochel 2017
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Introduction to Deep Learning for Natural Language Processing Bargava 2016
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Long Short-Term Memory Over Recursive Structures Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo 2017
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Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies Sepp Hochreiter, Yoshua Bengio, Pailo Frasconi, Jurgen Schmidhuber 2001
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A Brief Introduction to Neural Networks David Kriesel 2018
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Bayesian Reasoning and Machine Learning David Barber 2016
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Machine Learning Raymond J. Mooney 1181
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A Beginner's Guide to the Mathematics of Neural Networks A. C. C. Coolen 1181
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Notes on Deep Learning for NLP Antoine J.-P. Tixier 1181
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Analysis of the AutoML Challenge series 2015-2018 Isabelle Guyon and Lisheng Sun-Hosoya and Marc Boull ?e and Hugo Jair Es- calante and Sergio Escalera and Zhengying Liu and Damir Jajetic and Bisakha Ray and Mehreen Saeed and Michele Sebag and Alexan 2018
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Hyperopt-Sklearn Brent Komer and James Bergstra and Chris Eliasmith 1189
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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary Alberto Fernandez, Salvador Garcia, Francisco Herrera, Nitesh V. Chawla 2018
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Recent Advances in Recurrent Neural Networks Hojjat Salehinejad, Sharan Sankar, Joseph Barfett, Errol Colak, Shahrokh Valaee 2018
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Neural Architecture Search Thomas Elsken, Jan Hendrik Metzen, Frank Hutter 2018
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Towards Automatically-Tuned Deep Neural Networks Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Matthias Urban, Michael Burkart, Max Dippel, Marius Lindauer, Frank Hutter 2018
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie 2018
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Word Embeddings, Sense Embeddings and their Application to Word Sense Induction Linfeng Song 2016
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Neural Approaches to Conversational AI Jianfeng Gao, Michel Galley, Lihong Li 2018
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From Word to Sense Embeddings: A Survey on Vector Representations of Meaning Jose Camacho-Collados, Mohammad Taher Pilehvar 2018
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A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg 2016
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Deep Learning in Neural Networks: An Overview J{\"{u}}rgen Schmidhuber 2014
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Neural Approaches to Conversational {AI} Jianfeng Gao and Michel Galley and Lihong Li 2018
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Deep Learning on Graphs: {A} Survey Ziwei Zhang and Peng Cui and Wenwu Zhu 2018
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On the Origin of Deep Learning Haohan Wang and Bhiksha Raj and Eric P. Xing 2017
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Recent Advances in Recurrent Neural Networks Hojjat Salehinejad and Julianne Baarbe and Sharan Sankar and Joseph Barfett and Errol Colak and Shahrokh Valaee 2018
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Deep Learning: An Introduction for Applied Mathematicians Higham, Catherine F and Higham, Desmond J 2018
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Deep Learning for Sentiment Analysis : {A} Survey Lei Zhang and Shuai Wang and Bing Liu 2018
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The Matrix Calculus You Need For Deep Learning Terence Parr and Jeremy Howard 2018
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A Survey on Neural Network-Based Summarization Methods Yue Dong 2018
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal and Jean Ogier Du Terrail and Fr{\'{e}}d{\'{e}}ric Jurie 2018
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From Feature To Paradigm: Deep Learning In Machine Translation Marta R. Costa-juss? 2018
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A tutorial survey of architectures, algorithms, and applications for deep learning Li Deng 2014
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A Tour of The Top 10 Algorithms for Machine Learning Newbies Sunil Ray 2018
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Title (link) Author Date Votes Error
Poincar? Embeddings for Learning Hierarchical Representations Maximilian Nickel, Douwe Kiela 2017
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pyltr Jerry Ma, Luca Soldaini, Simon Stiebellehner, Songwei Ge, Cheng Rui 2017
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RankPy Tomas Tunys 2016
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word2vec Danielfrg 2018
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Generative Adversarial Networks in Tensorflow - Linux Shell RubensZimbres 2018
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awesome-text-summarization icoxfog417 2018
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Translate - a PyTorch Language Library Facebook 2018
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Neural Network with Backpropagation Matt Mazur 2015
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Restricted Boltzmann Machines in Python Edwin Chen 2011
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NLP-Stuff: Programs with word vectors, RNN, NLP stuff, etc. Adit Deshpande 2017
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theanets Leif Johnson 2017
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RNNLG Shawn Wen 2016
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Zoph_RNN: A C++/CUDA toolkit for training sequence and sequence-to-sequence models across multiple GPUs Xing Shi 2017
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Stack RNN Armand Joulin, Tomas Mikolov 2015
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SkFlow TensorFlow 2016
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Awesome TensorFlow jtoy 2016
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TensorFlow Tutorials Parag K Mital 2017
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Neural Language Model Joseph Turian 2010
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Sequence-to-Sequence Learning with Attentional Neural Networks Guillaume Klein 2016
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Sequence to Sequence Learning with Keras Fariz Rahman 2015
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Visual Analysis for State Changes in RNNs Sebastian Gerhrmann, Hendrik Strobelt, Bernd Huber, Hanspeter Pfister, Alexander M. Rush 2016
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Long Short Term Memory Units Wojciech Zaremba 2015
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Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai, Richard Socher, Christopher D. Manning 2015
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PathLSTM Michael Roth, Mirella Lapata 2017
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Top-down Tree LSTM Xingxing Zhang, Liang Lu, Mirella Lapata 2016
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Recurrent Neural Network Tutorial Denny Brtiz 2015
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Word Embedding Visual Inspector Xin Rong 2015
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Eigenwords Resource Page Lyle Ungar 2012
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Attention-Based Summarization Alexander M. Rush, Sumit Chopra, Jason Weston 2015
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A Convolutional Attention Network for Extreme Summarization of Source Code Ehud Ben-Reuven, Miltos Mallamanis 2016
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Attention-Based Summarization Harvard NLP 2015
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Attention-Based Summarization Taehoon Kim 2016
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Introducing Keras 1.0 Francois Chollet 2017
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Effective Approaches to Attention-based Neural Machine Translation Thang Luong, Hieu Pham, Christopher Manning 2015
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Question Answering Neural Network with Trans-Sentential Averaging John Co-Reyes 2014
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ConvNetJS Andrej Karpathy 2015
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Multi-Perspective Convolutional Neural Networks for Modeling Textual Similarity hohoCode 2017
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Convolutional Neural Network for Text Classicaition in TensorFlow Denny Britz 2015
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Convolutional Neural Networks for Sentence Classification Yoon Kim 2016
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Caffe: Deep learning framework in Python and Matlab Yangqing Jia and Evan Shelhamer 2017
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Character-Aware Neural Language Models Yoon Kim, Yacine Jernite, David Sontag, and Alexander M. Rush 2016
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Implementing a Neural Network from Scratch Denny Britz 2015
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DeepLearning4j: Deep learning framework in Java Alex Black, Suneel Marthi, Kai Sasake, Taisuke Oe, Jeffrey Tang, Melanie Warrick, and Eron Wright 2017
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Automatically generate headlines to short articles Ehud Ben-Reuven 2017
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NNBlocks Frederico Tommasi Caroli 2016
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mxnet: A Flexible and Efficient Library for Deep Learning Tianqi Chen, Mu Li, and many others 2017
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MultiVec: C++ implementation of word2vec, bivec, and paragraph vector. Alexandre Bérard, Jérémy Ferrero, Christophe Servan, Mats Byrkjeland 2015
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Simple, Strong Deep-Learning Baselines for NLP in several frameworks Dan Pressel 2016
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fastText Edouard Grave, Piotr Bojanowski, Armand Joulin 2016
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Easy to Learn and Use Distributed Deep Learning Platform Yu Yang, Gang Liao, Tao Luo, Jacques Qiao 2016
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Neural Coref Models Sam Wiseman, Alexander M. Rush, Stuart M. Shieber 2015
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Learning to Execute Abhi Agg, Wojciech Zaremba 2014
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Towards Universal Paraphrastic Sentence Embeddings code John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu 2016
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neon Intel Nervana 2017
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Awesome MXNet Distributed (Deep) Machine Learning Community 2017
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Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT) Iulian Vlad Serban and Alessandro Sordoni 2017
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lang2logic Li Dong 2017
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PaddlePaddle (PArallel Distributed Deep LEarning) Yu Yang, Gang Liao, Tao Luo 2016
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RNNLIB Alex Graves 2013
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Wiki2Vec David Przybilla 2015
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translit-rnn: Automatic transliteration with LSTM Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Karen Hambardzumyan, Arman Yeghiazaryan 2016
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Convolutional Attention Network Ehud Ben-Reuven, Miltos Mallamanis 2016
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Addressee and Response Selection System Hiroki Ouchi, Yuta Tsuboi 2016
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TheanoLM Seppo Enarvi 2017
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Kyunghyun Cho's software Kyunghyun Cho 2017
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Blocks LISA Lab 2015
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DeepWalk Bryan Perozzi, Rami Al-Rfou, Haochen Chen 2014
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TFLearn: Deep learning library featuring a higher-level API for TensorFlow. Aymeric Damien, Will Ballard, ichuang, Burness Duan 2016
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NLP_from_scratch Lajanugen Logeswaran 2015
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nmtpy Ozan Ça?layan, Loic Barrault 2016
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TensorFlow Fold Moshe Looks, DeLesley Hutchins 2017
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Stack-augmented Parser-Interpreter Neural Network Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts 2016
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DeepMind Lab Thomas Köppe, Jithin Odattu 2016
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Contextual RNN-GANs for Abstract Reasoning Diagram Generation: code Arnab Ghosh, Viveka Kulharia, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal 2016
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DyNet: The Dynamic Neural Network Toolkit Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Ga 2017
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Dialog-based Language Learning Jiwei Li 2016
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seq2seq Anna Goldie, Denny Britz 2017
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TensorFlow Models TensorFlow Team 2016
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bulbea Achilles Rasquinha 2017
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Summarizing Source Code using a Neural Attention Model - CODENN Srinivasan Iyer 2017
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Relationship Modeling Networks (RMN) Mohit Iyyer 2016
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Charagram: Embedding Words and Sentences via Character n-grams John Wieting 2016
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Neural Probabilistic Language Model Toolkit Yinggong Zhao, Victoria Fossum, David Chiang 2013
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EUREKA for LSTM Ashish Vaswani 2017
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SCODE Word Embeddings using Substitute Words Volkan Cirik 2015
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Lasagne Jan Schlüter, Sander Dieleman, Colin Raffel, Eben Olson, Søren Kaae Sønderby, Daniel Nouri 2014
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Pointer networks for summarization Chris Kedzie 2016
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learn2sum Chris Kedzie 2016
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sumpy Chris Kedzie 2016
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Temporal Summarization Chris Kedzie 2016
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Keraflow: Deep Learning library for Theano and Tensorflow. Keras follower Shih-Ming Wang 2016
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Breeze David Hall 2009
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Reasoning About Pragmatics with Neural Listeners Speakers Jacob Andreas, Dan Klein 2016
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Neural module networks Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein 2016
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gplearn Trevor Stephens 2015
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Deep learning in Python Anders Boesen Lindbo Larsen, Lasse Reedtz 2014
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MXNet Tianqi Chen, Mu Li, Eric Junyuan Xie, Bing Xu, Chiyuan Zhang, Yizhi Liu, Tianjun Xiao, Yutian Li, Yuan (Terry) Tang, Hu Shiwen, Qiang Kou (KK), Xingjian Shi, Yao Wang, Sandeep Krishnamurthy, Chuntao H 2015
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CMUSphinx Tutorial For Developers Alex Rudnicky, Alan W. Black, Bhiksha Raj, David Huggins-Daines, Evandro B. Gouvea, Kevin A. Lenzo, Nickolay V. Shmyrev,Peter Wolf, Apurv Tiwari,Cosmin Boaca,Eric H. Thayer ,Arseniy Gorin, Holger Bran 2017
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Rasa NLU Alan Nichol, Tom Bocklish, Alexander Weidauer, Giovanni Iovino, Nick Pawlowski 2017
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Five Hundred Deep Learning Papers Daniele Ciriello 2015
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Code samples for "Neural Networks and Deep Learning" Michael Nielsen 2012
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TRAIN FASTER-RCNN ON A NEW DATASET Ross Girshick, Xin Lei Pan 2015
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ParlAI FAIR 2017
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Pyevolve Christian S. Perone, Amit Saha 2010
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Breze Justin Bayer, Sebastian Urban, Adrià Puigdomènech 2012
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Get To The Point: Summarization with Pointer-Generator Networks Abi See 2017
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Fully Character-Level Neural Machine Translation Jason Lee, Kyunghyun Cho 2016
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ProPPR: Programming with Personalized PageRank William Yang Wang, Kathryn Mazaitis, William W. Cohen 2016
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Review Network for Caption Generation Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen 2016
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pixel-cnn++ Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma, and Yaroslav Bulatov 2017
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Graph Convolutional Networks Thomas N. Kipf, Max Welling 2017
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Practical PyTorch: Translation with a Sequence to Sequence Network and Attention Sean Robertson 2017
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The Predictron Zhongwen Xu 2016
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PyTorch Adam Paszke, Sam Gross and Soumith Chintala 2012
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Announcing TensorFlow Fold: Deep Learning With Dynamic Computation Graphs Moshe Looks, Marcello Herreshoff, DeLesley Hutchins 2017
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OpenNMT Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush 2017
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Machine Learning with TensorFlow: code Nishant Shukla 2017
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Machine Learning with TensorFlow Nishant Shukla 2017
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Implementation of Using Fast Weights to Attend to the Recent Past Goku Mohandas 2017
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Tensor network machine learning Miles Emstoudenmire 2016
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CNTK Venelin Valkov 2015
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Gensim integration with scikit-learn and Keras Chinmaya Pancholi 2017
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Google Summer of Code 2017 ? Week 1 of Integrating Gensim with scikit-learn and Keras Chinmaya Pancholi 2017
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NSynth: Neural Audio Synthesis Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Karen Simonyan, Mohammad Norouzi, Doug Eck 2017
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Sonnet Diego Couto de Las Casas 2017
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Microsoft Updates its Deep Learning Toolkit Chris Basoglu 2017
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BIST Parsers Eliyahu Kiperwasser 2017
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Easy-first Parser Eliyahu Kiperwasser 2016
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Stanford NLP Group Software Stanford NLP Group 2017
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Differentiable Neural Computer (DNC) Jason Ramapuram 2016
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neuro-lab Nuel Ezenwere 2017
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Caffe2 Facebook Open Source 2017
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nolearn: scikit-learn compatible neural network library Daniel Nouri 2014
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deepnet: Implementation of some deep learning algorithms Nitish Srivastava 2012
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Convolutional Neural Networks for Matlab for classification and segmentation Sergey Demyanov 2013
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Reproducing Chen & Manning (2014) Minh Le 2017
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Learning to Learn in TensorFlow Sergio Gómez 2016
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BEGAN: Boundary Equilibrium Generative Adversarial Networks Heumi 2017
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Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet) Aaron Chen 2017
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RocAlphaGo wrongu, Tyler Trine, James Tauber, Louis Marti, Thouis (Ray) Jones 2016
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neural image analogies Adam Wentz 2016
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Kur: Descriptive Deep Learning Adam Sypniewski, Noah Shutty 2016
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TensorLayer Data Science Institute, Imperial College London 2017
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TensorFlow Examples Aymeric Damien, Norman Heckscher 2017
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Neural Doodle Alex J. Champandard, Jared Feng 2017
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neural-storyteller Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, and Sanja Fidler 2015
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Theano-Tutorials Alec Radford 2014
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neural-style Justin Johnson, Shubhanshu Mishra 2014
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deepdream Alexander Mordvintsev, Michael Tyka, Christopher Olah 2015
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Pylearn2: A machine learning research library Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin, Vincent Dumoulin, Mehdi Mirza, Razvan Pascanu, James Bergstra, Frédéric Bastien, and Yoshua Bengio 2016
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scikit-neuralnetwork Alex J. Champandard 2015
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford, Luke Metz, Soumith Chintala 2015
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