Topic 7: Neural Networks and Deep Learning 3928


Title (link) Author Date Votes Error
Subword Neural Machine Translation Rico sennrich 2018
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TensorFlow Agents Author Unknown 2017
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Deep Learning Models Rasbt 2019
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Deep Learning on Graphs: An Introduction Yao Ma and Jiliang Tang 2020
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Chapter 11 Application in Computer Vision Yao Ma, Jiliang Tang 2020
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Advanced Applications in Graph Neural Networks Yao Ma, Jiliang Tang 2020
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Chapter 2 Foundation of Graphs Yao Ma, Jiliang Tang 2020
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Robust Graph Neural Networks Yao Ma, Jiliang Tang 2020
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Chapters Yao Ma, Jiliang Tang 2020
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Chapter 10 Application in Natrual Language Processing Yao Ma, Jiliang Tang 2020
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Advanced Topics in Graph Neural Networks Yao Ma, Jiliang Tang 2020
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Chapter 1 Deep Learning on Graphs: An Introduction Yao Ma, Jiliang Tang 2020
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Graph Neural Networks Yao Ma, Jiliang Tang 2020
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Bibliography Yao Ma, Jiliang Tang 2020
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Chapter 9 Beyond GNNs: More Deep Models on Graphs Yao Ma, Jiliang Tang 2020
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Deep Learning on Graphs Yao Ma, Jiliang Tang 2020
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Graph Neural Networks in Biochemistry and Healthcare Yao Ma, Jiliang Tang 2020
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Chapter 15 Advanced Applications in Graph Neural Networks Yao Ma, Jiliang Tang 2020
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Graph Embedding Yao Ma, Jiliang Tang 2020
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Beyond GNNs: More Deep Models on Graphs Yao Ma, Jiliang Tang 2020
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Index Yao Ma, Jiliang Tang 2020
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Chapter 5 Graph Neural Networks Yao Ma, Jiliang Tang 2020
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Graph Neural Networks in Data Mining Yao Ma, Jiliang Tang 2020
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Chapter 14 Advanced Topics in Graph Neural Networks Yao Ma, Jiliang Tang 2020
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Foundations of Deep Learning Yao Ma, Jiliang Tang 2020
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Chapter 4 Graph Embedding Yao Ma, Jiliang Tang 2020
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Graph Neural Networks on Complex Graphs Yao Ma, Jiliang Tang 2020
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Graph Neural Networks in Computer Vision Yao Ma, Jiliang Tang 2020
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Chapter 13 Application in Bio-chemistry and Healthcare Yao Ma, Jiliang Tang 2020
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Foundations of Graphs Yao Ma, Jiliang Tang 2020
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Chapter 3 Foundation of Deep Learning Yao Ma, Jiliang Tang 2020
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Scalable Graph Neural Networks Yao Ma, Jiliang Tang 2020
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Graph Neural Networks in Natural Language Processing Yao Ma, Jiliang Tang 2020
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Title (link) Author Date Votes Error
Deep Learning Ian Goodfellow and Yoshua Bengio and Aaron Courville 2016
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A Survey of Multilingual Neural Machine Translation Raj Dabre 2019
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NLP DL lecture notes NYU Kyunghyun Cho 2017
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How to Automatically Generate Textual Descriptions for Photographs with Deep Learning Jason Brownlee 2017
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Taxonomy of Methods for Deep Meta Learning Carlos E. Perez 2017
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Bayesian Reasoning and Machine Learning David Barber 2016
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Neural Approaches to Conversational {AI} Jianfeng Gao and Michel Galley and Lihong Li 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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Generative Learning algorithms Andrew Ng 2017
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Tractable Learning in Structured Probability Spaces Adnan Darwiche 2017
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Dive into Deep Learning Aston Zhang 2019
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Deep Learning: An Introduction for Applied Mathematicians Higham, Catherine F and Higham, Desmond J 2018
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Information Theory, Inference, and Learning Algorithm David J. C. MacKay 2003
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Deep Learning for Natural Language Processing Tianchuan Du, Vijay K. Shanker 2013
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Deep models for Paraphrase and Summarization Yitong 2017
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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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Natural Language Processing with Deep Learning Christopher Manning, Richard Socher 2017
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Deep Learning with Python Francois Chollet 2017
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A dynamic view of the deep learning world Soumith Chintala 2017
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Supervised sequence labelling with RNN Alex Graves 2012
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A Survey on Neural Network-Based Summarization Methods Yue Dong 2018
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Learning Book Author Unknown 1181
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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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Recurrent Neural Networks for Language Processing Microsoft 2012
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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network Alex Sherstinsky 2018
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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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Neural Approaches to Conversational AI Jianfeng Gao, Michel Galley, Lihong Li 2018
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A Tour of The Top 10 Algorithms for Machine Learning Newbies Sunil Ray 2018
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Word Embeddings and Their Challenges Parsa Ghaffari 2016
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A Brief Introduction to Neural Networks David Kriesel 2018
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A Survey of Word Embeddings Evaluation Methods Amir Bakarov 2018
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Deep Learning in Neural Networks: An Overview J?rgen Schmidhuber 2014
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BAIR Retreat 3/28/17 Trevor Darrell 2017
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Pattern Recognition and Machine Learning Christopher M. Bishop 2006
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What is a CapsNet or Capsule Network? Debarko De 2017
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Neural Network Methods for Natural Language Processing Yoav Goldberg 2017
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Neural Architecture Search Thomas Elsken, Jan Hendrik Metzen, Frank Hutter 2018
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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data Stefan Kojouharov 2017
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Deep Learnnig at Oxford 2015 Nando de Freitas 2015
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Recurrent Neural Net describes images like Taylor Swift or Romantic Novel Samlm 2015
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Deep Learning Book Playlist Author Unknown 2017
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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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Introduction to Deep Learning for Natural Language Processing Bargava 2016
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CS 224D: Deep Learning for NLP, Lecture Notes 2 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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Natural Language Understanding with Distributed Representation Kyunghyun Cho 2015
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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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Notes on Deep Learning for NLP Antoine J.-P. Tixier 1181
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word2vec Parameter Learning Explained Xin Rong 2015
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An Overview of ResNet and its Variants Vincent Fung 2017
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Long Short-Term Memory Over Recursive Structures Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo 2017
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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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Natural Language Processing Jacob Eisenstein 2018
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Symbolic memories in the brain Christos Papadimitriou 2017
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PyTorch tutorial Yunjey Choi 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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Everything you need to know about Neural Networks Kailash Ahirwar 2017
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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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Computer Vision by Andrew Ng_- 11 Lessons Learned Ryan Shrott 2017
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Few-shot Learning: A Survey YAQING WANG 2019
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Deep learning at Oxford 2015 Nando de Freitas 2015
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A tutorial survey of architectures, algorithms, and applications for deep learning Li Deng 2014
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Mastering the game of Go with deep neural networks and tree search David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik 2016
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Lecture Notes: Some notes on gradient descent Marc Toussaint 2012
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Neural Networks and Neural Language Models Daniel Jurafsky, James H. Martin 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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Deep Learning, NLP, and Representations Christopher Olah 2014
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Deep Learning in Neural Networks: An Overview J{\"{u}}rgen Schmidhuber 2014
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6.S191: Introduction to Deep Learning Nick Locascio, Harini Suresh 2017
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Solution: How to Win at Deep Learning Pradeep Mutalik 2017
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CS 224D: Deep Learning for NLP, Lecture Notes 1 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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word2vec Parameter Learning Explained Xin Rong 2016
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A Beginner's Guide to the Mathematics of Neural Networks A. C. C. Coolen 1181
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Natural Language Understanding with Distributed Representation Kyunghyun Cho 2015
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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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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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Semi-Random Units for Learning Neural Networks with Guarantees Bo Xie, Yingyu Liang, Kenji Kawaguchi and Le Song 2017
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Deep Learning & NLP Roelof Pieters 2014
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Visual Question Answering Devi Parikh 2017
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Machine Learning with TensorFlow Nishant Shukla 2017
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Algorithms for Massive Data Problems Avrim Blum, John Hopcroft, Ravindran Kannan 2015
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Neural Components In Statistical Machine Translation Author Unknown 2017
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A Gentle Intro to Transfer Learning Slav Ivanov 2017
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LeNet 5, AlexNet, VGG -16 from Deeplearning.ai Shahariar Rabby 2017
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Neural networks class - Université de Sherbrooke Hugo Larochelle 2016
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Deep Learning on Graphs: {A} Survey Ziwei Zhang and Peng Cui and Wenwu Zhu 2018
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The Matrix Calculus You Need For Deep Learning Terence Parr and Jeremy Howard 2018
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The Unreasonable Effectiveness of Recurrent Neural Networks Andrej Karpathy 2015
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How to Win at Deep Learning Pradeep Mutalik 2017
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Deep Learning on Graphs: A Survey "Ziwei Zhang, Peng Cui and Wenwu Zhu" 2018
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A Gentle Introduction To Neural Networks Series_- Part 1 David Fumo 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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Representation Learning: A Review and New Perspectives Yoshua Bengio, Aaron Courville, Pascal Vincent 2014
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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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Non-Convex Optimization for Machine Learning Prateek Jain, Purushottam Kar 2017
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DeepAA OsciiArt 2017
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A Statistical View of Deep Learning Shakir Mohamed 2015
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Recent Progress on CNNs for Object Detection and Image Compression Rahul Sukthankar 2017
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TensorFlow Disappoints - Google Deep Learning falls shallow Matthew Mayo 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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From Feature To Paradigm: Deep Learning In Machine Translation Marta R. Costa-juss? 2018
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What a Deep Neural Network thinks about your #selfie Andrej Karpathy 2015
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Deep Learning: An Introduction for Applied Mathematicians Catherine F. Higham, Desmond J. Higham 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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Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python Sebastian Raschka 2016
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Neural Networks and Deep Learning Michael Nielsen 2017
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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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cs231n: lecture videos Andrej Karpathy 2016
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Machine Learning Raymond J. Mooney 1181
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Practical Deep Learning For Coders, Part 1, Jeremy Howard 2016
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Deep Learning Methods and Applications Li Deng, Dong Yu 2017
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Deep Learning for Sentiment Analysis : {A} Survey Lei Zhang and Shuai Wang and Bing Liu 2018
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A Course in Machine Learning Hal Daume III 2017
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Deep Learning Methods and Applications Li Deng and Dong Yu 2014
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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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Hyperopt-Sklearn Brent Komer and James Bergstra and Chris Eliasmith 1189
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Deep Learning Tutorials Lisa Lab 2010
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A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg 2016
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Dependency-Based Word Embeddings Omer Levy, Yoav Goldberg 2014
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On the Origin of Deep Learning Haohan Wang and Bhiksha Raj and Eric P. Xing 2017
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CS 224D: Deep Learning for NLP, Lecture Notes 5 Francois Chaubard, Rohit Mundra, Richard Socher 2015
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A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg 2015
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Word Embeddings, Sense Embeddings and their Application to Word Sense Induction Linfeng Song 2016
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A Probabilistic Theory of Deep Learning Ankit B. Patel, Tan Nguyen, Richard G. Baraniuk 2015
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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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Deep Learning For NLP In Pytorch Robert Guthrie 2017
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Unsupervised Learning Zoubin Ghahramani 2005
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Title (link) Author Date Votes Error
Generative Question Answering Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li 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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monkeylearn-python Monkeylearn 2017
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Deep Reinforcement Learning in TensorFlow Taehoon Kim 2017
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Announcing TensorFlow Fold: Deep Learning With Dynamic Computation Graphs Moshe Looks, Marcello Herreshoff, DeLesley Hutchins 2017
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PySyft OpenMined 2019
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spark-nlp John Snow 2018
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Dialog-based Language Learning Jiwei Li 2016
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PySC2 - StarCraft II Learning Environment Author Unknown 2017
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Temporal Summarization Chris Kedzie 2016
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LISA: Linguistically-Informed Self-Attention strubell 2018
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Neural Networks demo in Javascript Andrej Karpathy 2017
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NeuralTalk2 Andrej Karpathy, Justin Johnson 2015
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SkFlow TensorFlow 2016
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Neural Doodle Alex J. Champandard, Jared Feng 2017
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Word Embeddings and Document Vectors Ashok Chilakapati 2018
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DeepWalk Bryan Perozzi, Rami Al-Rfou, Haochen Chen 2014
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Research Text Summarization Jatin Arora 2017
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Effective Approaches to Attention-based Neural Machine Translation Thang Luong, Hieu Pham, Christopher Manning 2015
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TensorFlow Examples Aymeric Damien, Norman Heckscher 2017
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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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Deep learning made easy Zygmunt Zaj?c 2013
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fast_align Chris Dyer, Victor Chahuneau, Noah A. Smith 2016
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Neural Network Libraries Sony 2017
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Emergent Translation in Multi-Agent Communication Jason Lee, Kyunghyun Cho, Jason Weston, Douwe Kiela 2018
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Character-Aware Neural Language Models Taehoon Kim 2015
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Lasagne Jan Schlüter, Sander Dieleman, Colin Raffel, Eben Olson, Søren Kaae Sønderby, Daniel Nouri 2014
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Summarizing Source Code using a Neural Attention Model - CODENN Srinivasan Iyer 2017
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Sign-Language Dibakar Saha 2018
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InferSent Alex Conneau 2017
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Introducing Cloud Natural Language API, Speech API open beta and our West Coast region expansion Apoorv Saxena 2016
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Neural Caption Generator with Attention Taeksoo Kim 2015
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finetune-transformer-lm openai 2018
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CNTK Venelin Valkov 2015
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Retrofitting Manaal Faruqui 2017
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Tensorflow Implementation of Recursive Neural Networks Kai Sheng Tai, Richard Socher, and Christopher D. Manning 2017
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Attention is all you need: A Pytorch Implementation Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin, arxiv 2017
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Concrete solutions to real problems Emmanuel Ameisen 2018
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NEMATUS: Attention-based encoder-decoder model for neural machine translation Rico Sennrich 2015
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Wikianswers Author Unknown 2017
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Automatically generate headlines to short articles Ehud Ben-Reuven 2017
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theanets Leif Johnson 2017
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Restricted Boltzmann Machines in Python Edwin Chen 2011
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lda2vec: Tools for interpreting natural language cemoody 2018
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BEGAN: Boundary Equilibrium Generative Adversarial Networks Heumi 2017
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Graph ConvNets in PyTorch Xavier Bresson 2017
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ProPPR: Programming with Personalized PageRank William Yang Wang, Kathryn Mazaitis, William W. Cohen 2016
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Potara: Multi-document summarization tool sildar 2015
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Relation Classification using LSTMs on Sequences and Tree Structures Author Unknown 2017
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NMT-Keras Alvaro Peris 2017
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Easy-first Parser Eliyahu Kiperwasser 2016
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Pix2code Author Unknown 2017
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Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context kimiyoung 2019
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Mathematics_for_Machine_Learning_Examples Deep Learning Indaba 2018
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Sort-of-CLEVR Kim Heecheol 2017
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Show, Attend and Tell yunjey 2016
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NNBlocks Frederico Tommasi Caroli 2016
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DataVec Deeplearning4j 2017
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Kyunghyun Cho's software Kyunghyun Cho 2017
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Learning to Execute Abhi Agg, Wojciech Zaremba 2014
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Simple and Efficient Learning with Dynamic Neural Networks Graham Neubig 2017
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Convolutional Neural Networks for Matlab for classification and segmentation Sergey Demyanov 2013
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word2vec-recommender Manas Ranjan Kar, Akhil Gupta 2017
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Rapid Adaptation of Neural Machine Translation to New Languages Graham Neubig, Junjie Hu 2018
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A (Heavily Documented) TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model Kyubyong 2017
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PathLSTM Michael Roth, Mirella Lapata 2017
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End-to-end Neural Coreference Resolution Kenton Lee 2017
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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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Pointer Networks in Tensorflow Dev Nag 2016
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displaCy.js: An open-source NLP visualiser for the modern web Author Unknown 2017
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Charagram: Embedding Words and Sentences via Character n-grams John Wieting 2016
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Attention-Based Summarization Taehoon Kim 2016
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Microsoft Updates its Deep Learning Toolkit Chris Basoglu 2017
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KL Divergence Thushan Ganegedara 2018
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neural image analogies Adam Wentz 2016
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NeuralKart - A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER rameshvarun 2017
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Provably robust neural networks Eric Wong, Zico Kolter 2018
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Deep Learning Tutorial for Beginners Kaan Can 2018
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thunlp/paragraph2vec Tsinghua University 2017
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RankPy Tomas Tunys 2016
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Seq2Seq Chatbot Author Unknown 2017
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seq2seq Anna Goldie, Denny Britz 2017
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Python Library for Probabilistic Graphical Models Ankur Ankan 2017
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Fully Character-Level Neural Machine Translation Jason Lee, Kyunghyun Cho 2016
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Blocks LISA Lab 2015
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TRAIN FASTER-RCNN ON A NEW DATASET Ross Girshick, Xin Lei Pan 2015
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Skorch Benjamin Bossan, Daniel Nouri, Marian Tietz 2017
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LabelImg Darren Lo 2017
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Unsupervised NMT with TensorFlow and OpenNMT-tf OpenNMT 2018
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t-SNE running on 50-dimensional word vectors Andrej Karpathy 2017
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awesome-question-answering Apurv Verma 2017
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Colibri Core Maarten van Gompel 2017
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Word Embedding Visual Inspector Xin Rong 2015
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Neural Networks for NLP Code Examples neubig 2019
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Predefined Sparseness in Recurrent Sequence Models tdmeeste 2018
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Question-Answer Dataset Noah A. Smith, Michael Heilman, Rebecca Hwa 2013
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PyTorch Adam Paszke, Sam Gross and Soumith Chintala 2012
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Stack RNN Armand Joulin, Tomas Mikolov 2015
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neuro-lab Nuel Ezenwere 2017
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Can Convolutional Neural Networks Crack Sudoku Puzzles? Kyubyong 2017
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Addressee and Response Selection System Hiroki Ouchi, Yuta Tsuboi 2016
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sumpy Chris Kedzie 2016
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Success with Style: Using Writing Style to Predict the Success of Novels. Vikas Ashok, Song Feng, and Yejin Choi 2013
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The Neural Turing Machine Author Unknown 2017
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Latent Alignment and Variational Attention harvardnlp 2018
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Stanford NLP Group Software Stanford NLP Group 2017
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Progressive matrices dataset Barrett, Hill, Santoro, Morcos, Lillicrap 2018
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ANN Visualizer Prodicode 2018
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Neural Style Transfer & Neural Doodles Somshubra Majumdar 2017
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Deep Universal Probabilistic Programming Author Unknown 2017
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The Gluon API Specification Gluon-API 2017
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Asynchronous RL in TensorFlow + Keras + OpenAI's Gym Author Unknown 2017
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TensorLayer Data Science Institute, Imperial College London 2017
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Phrase2vec Mikel Artetxe, Gorka Labaka, and Eneko Agirre 2018
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convisualize Sarthak Gupta 2018
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Graph Convolutional Networks Thomas N. Kipf, Max Welling 2017
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T2T: Tensor2Tensor Transformers Ryan Sepassi, Lukasz Kaiser 2017
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TensorFlow Models TensorFlow Team 2016
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Convolutional Attention Network Ehud Ben-Reuven, Miltos Mallamanis 2016
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DarkForest, the Facebook Go engine Facebook Research 2017
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Bi-directional Attention Flow for Machine Comprehension Minjoon Seo 2016
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Unsupervised Text Segmentation Liang Wang 2016
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StackNN Computational Linguistics at Yale 2018
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Wasserstein GAN Martin Arjovsky, Soumith Chintala, Léon Bottou 2017
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Word Embeddings Rami Al-Rfou, Bryan Perozzi, Steven Skiena 2013
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NLP_from_scratch Lajanugen Logeswaran 2015
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Zemberek-NLP Ahmet Afsin Akin, Mehmet Dundar Akin 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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Machine Learning with TensorFlow Nishant Shukla 2017
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A neural machine translation model in PyTorch pcyin 2017
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BIST Parsers Eliyahu Kiperwasser 2017
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Neural Dep Srl Marcheggiani, Anton Fr 2017
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Tree2Seq: Tree-to-Sequence Attentional Neural Machine Translation Author Unknown 2017
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Companion Jupyter notebooks for the book "Deep Learning with Python" Fchollet 2017
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ONNX ONNX 2018
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VisualDL PaddlePaddle 2018
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Taxi-v1 T Erez, Y Tassa, E Todorov 2017
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Implementing a Neural Network from Scratch Denny Britz 2015
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DeepLearning with Tensorflow Keras GKarmakar 2017
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scikit-neuralnetwork Alex J. Champandard 2015
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code for the paper "Improved Techniques for Training GANs" Tim Salimans, Ian Goodfellow, Wojciech Zaremba 2017
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text2vec Nikhil Thorat, Daniel Smilkov and Charles Nicholson. 2017
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Foolbox Jonas Rauber & Wieland Brendel 2017
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fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices Jeremy Howard 2018
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neocortex.js Leon Chen 2016
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Text Segmentation based on Semantic Word Embeddings Alexander Alemi, Paul Ginsparg 2015
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parlai 0.1.0 Alexander H Miller 2017
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gans: Generative Adversarial Networks diegoalejogm 2018
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Awesome MXNet Distributed (Deep) Machine Learning Community 2017
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DeepChem Peter Eastman, Evan Feinberg, Joe Gomes, Karl Leswing, Vijay Pande, Aneesh Pappu, Bharath Ramsundar, Michael Wu 2017
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Tensorflow tutorial on convolutional neural networks Cole Murray 2017
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Detector Morse Kyle Gorman 2018
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conllu.js: CoNLL-U format library for JavaScript spyysalo 2014
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- 0 +
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inspect_word2vec Chris J McCormick 2018
- 0 +
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Tensorflow Implementation of Nested LSTM Cell hannw 2018
- 0 +
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- 0 +
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- 0 +
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Sequence-to-Sequence Learning with Attentional Neural Networks Guillaume Klein 2016
- 0 +
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pynlp Stanford CoreNLP 2017
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Practical_2_Convolutional_Neural_Networks Deep Learning Indaba 2018
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bulbea Achilles Rasquinha 2017
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SoundNet: Learning Sound Representations From Unlabeled Video Yusuf Aytar, Carl Vondrick, Antonio Torralba 2016
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Neural Probabilistic Language Model Toolkit Yinggong Zhao, Victoria Fossum, David Chiang 2013
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Neural Network Libraries by Sony Sony 2017
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The Predictron Zhongwen Xu 2016
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Counter-fitting Word Vectors to Linguistic Constraints 16 commits 2 branches Nikola Mrksic 2017
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LeNet-5, convolutional neural networks Author Unknown 2017
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Sequence Modeling Benchmarks and Temporal Convolutional Networks (TCN) Shaojie Bai, J. Zico Kolter and Vladlen Koltun 2018
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Syntax-awared-NMT: Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder Huadong Chen 2017
- 0 +
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#MSR RastRDFStore Package Author Unknown 2017
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Tutoriel sur les réseaux neuronaux récurrents Jean Philippe Reid 2018
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Awesome NLP Resources for Hungarian Gyorgy Orosz 2017
- 0 +
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char-rnn Andrej Karpathy 2014
- 0 +
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Awesome TensorFlow jtoy 2016
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neural-style Justin Johnson, Shubhanshu Mishra 2014
- 0 +
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- 0 +
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