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# Title Author Topic Medium Score
1 COCO: Common Objects in Context Tsung-Yi Lin, Genevieve Patterson, Matteo Ruggero Ronchi, Yin Cui, Michael Maire, Serge Belongie, Ross Girshick, James Hay, Pietro Perona, Deva Ramanan, Larry Zitnick, Piotr Dollar 958 corpus 3.60
2 The Confusion Matrix in statistical tests Eli Bendersky 974 resource 3.60
3 Intro to Data Science Part 3: Data Analysis Tiffany Souterre 974 resource 3.60
4 Minibatch Metropolis-Hastings Daniel Seita 107 tutorial 3.59
5 Introduction to Bayesian Thinking: from Bayes Theorem to Bayes Networks Felipe Sanchez 171 resource 3.59
6 Two-sample t-test and robustness John Cook 999 resource 3.59
7 cs231n notes: Classification Andrej Karpathy 511 tutorial 3.59
8 LSTMs for Human Activity Recognition Guillaume Chevalier 742 library 3.59
9 How to Unit Test Machine Learning Code Chase Roberts 731 tutorial 3.58
10 Multi Label Text Classification with Scikit-Learn Susan Li 542 resource 3.58
11 LF-LDA and LF-DMM: Improving Topic Models with Word Embeddings Dat Quoc Nguyen, Richard Billingsley, Lan Du and Mark Johnson 721 library 3.58
12 Build It, Break It The Language Edition Emily M. Bender, Hal Daume III, Allyson Ettinger, Harita Kannan, Sudha Rao, Ephraim Rothschild 133 corpus 3.58
13 Multi Label Text Classification with Scikit-Learn Susan Li 542 resource 3.57
14 Comprehension Based LanguageÿModeling David McAllester 211 resource 3.57
15 30 Questions to test a data scientist on Natural Language Processing [Solution: Skilltest – NLP] Shivam Bansal 112 resource 3.57
16 Text Segmentation based on Semantic Word Embeddings Alexander Alemi, Paul Ginsparg 721 library 3.57
17 The RepEval 2017 Shared Task Sam Bowman, Yoav Goldberg, Felix Hill, Angeliki Lazaridou, Omer Levy, Roi Reichart, Anders Sogaard 723 resource 3.57
18 Comparison of Deepnet and Neuralnet Vincent Granville 711 resource 3.57
19 Machine Learning Exercises In Python, Part 3 John Wittenauer 131 tutorial 3.57
20 What does support vector machine (SVM) mean in layman's terms? Akihiro Matsukawa 521 tutorial 3.57
21 dimensionality reduction technique -tsne vs. PCA Zenodia Charpy 341 tutorial 3.57
22 Skip-thoughts Kyunghyun Cho 363 library 3.57
23 Story Cloze Test and ROCStories Corpora Author Unknown 979 corpus 3.57
24 Solving A Simple Classification Problem with Python - Fruits Lovers's Edition Susan Li 381 resource 3.57
25 Convolutional Neural Networks in Python with Keras Aditya Sharma 744 resource 3.57
26 Neural Model for converting Image-to-Markup Yuntian Deng 756 library 3.56
27 CS188: Intro to AI John DeNero and Dan Klein 13 resource 3.56
28 Comprehensive & Practical Inferential Statistics Guide for data science NSS 834 resource 3.56
29 Coding Neural Network?—?Regularization Imad Dabbura 711 resource 3.56
30 Stanford Deterministic Coreference Resolution System Heeyoung Lee, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky, Marta Recasens, Marie-Catherine de Marneffe, Christopher Potts, Karthik Raghunathan, Heeyoung Lee, Sudarshan 391 library 3.56
31 Applied Deep Learning - Part 2: Real World Case Studies Arden Dertat 711 course 3.56
32 Effective Approaches to Attention-based Neural Machine Translation Thang Luong, Hieu Pham, Christopher Manning 753 library 3.56
33 Introduction to Conditional Probability and Bayes theorem for data science professionals Dishashree Gupta 125 resource 3.56
34 Introduction to Pseudo-Labelling : A Semi-Supervised learning technique Shubham Jain 581 resource 3.56
35 EMNLP 2011 Shared Task: Machine Translation EMNLP Organizers 2011 961 corpus 3.56
36 Weighting words using Tf-Idf bogdani 999 resource 3.56
37 Skip-thoughts Jamie Kiros 363 library 3.56
38 WikiSQL Salesforce 211 library 3.56
39 Shallow Neural Network from scratch (deeplearning.ai assignment) The Rickest Ricky 811 resource 3.56
40 Classifying MNIST digits using Logistic Regression LISA lab 516 tutorial 3.56
41 Image Classification using Feedforward Neural Network in Keras Vikas Gupta 744 resource 3.56
42 Natural Language Processing Andreessen Horowitz 133 resource 3.56
43 Chat Disentanglement Micha Elsne, Eugene Charniak 445 corpus 3.56
44 Building Convolutional Neural Networks with Tensorflow Ahmet Taspinar 744 tutorial 3.56
45 ConvAI2: Overview of the competition Author Unknown 999 resource 3.56
46 The TakeLab Semantic Text Similarity System Bojana Dalbelo Baši? 314 library 3.56
47 Tensor Comprehensions Nicolas Vasilache, Priyal Goyal 731 resource 3.56
48 Build a Game-playing Agent Ryan Shrott 825 tutorial 3.56
49 Attention Sum Reader Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, Tamir Klinger, Ladislav Kunc, Jan Kleindienst 745 library 3.56
50 Shared Task: Machine Translation of News Author Unknown 131 resource 3.56
51 Bag of Words Meets Bags of Popcorn Part 3: More fun with Word Vectors Angela Chapman 321 tutorial 3.56
52 Question Answering Neural Network with Trans-Sentential Averaging John Co-Reyes 755 library 3.56
53 lamtram: A toolkit for language and translation modeling using neural networks Graham Neubig, Michael Denkowski, Hieu Hoang 751 library 3.55
54 Statistics Tutorial Harvey Berman 102 tutorial 3.55
55 A Complete Machine Learning Walk-Through in Python: Part Two William Koehrsen 711 resource 3.55
56 jieba Sun Junyi, Dingyuan Wang, Fukuball Lin 963 library 3.55
57 TensorFlow and deep learning, without a PhD Authors Unknown 711 tutorial 3.55
58 Bi-directional Attention Flow for Machine Comprehension Minjoon Seo 745 library 3.55
59 Five Hundred Deep Learning Papers, Graphviz and Python Daniele Ciriello 713 tutorial 3.55
60 Sentence Convolution Code in Torch Yoon Kim 744 library 3.55
61 Dive Into NLTK, Part V: Using Stanford Text Analysis Tools in Python Author Unknown 132 tutorial 3.55
62 Machine Learning Crash Course: Part 4 - The Bias-Variance Dilemma Daniel Geng, Shannon Shih 134 tutorial 3.55
63 An Introduction to Clustering and different methods of clustering Saurav Kaushik 571 resource 3.55
64 Supervised Learning with Python Vihar Kurama 581 resource 3.55
65 Convolutional Neural Networks with TensorFlow Aditya Sharma 744 resource 3.55
66 fasttext Sale Stock 511 library 3.55
67 Improving Deep Neural Networks: Hyperparameter Author Unknown 711 Course 3.55
68 Training Deep Networks Elisa Sayrol 711 tutorial 3.55
69 ConvAI2: Overview of the competition Coversational Intelligence Challenge 445 library 3.55
70 Introduction to statistical data analysis in Python – frequentist and Bayesian methods Cyrille Rossant 107 survey 3.55
71 Deep Learning with TensorFlow in Python Sandipan Dey 731 tutorial 3.55
72 Number plate detection with Supervisely and Tensorflow (Part 1) Deep Systems 731 tutorial 3.55
73 Deep Learning from first principles in Python, R and Octave – Part 5 Tinniam V Ganesh 711 resource 3.54
74 Some NLP: Probabilistic Context Free Grammar (PCFG) and CKY Parsing in Python Sandipan Dey 244 resource 3.54
75 PCA using Python (scikit-learn) Michael Galarnyk 731 resource 3.54
76 Machine Learning Basics?—?Part 2?—?Concept of neural networks and how to debug a learning algorithm Daniel Deutsch 711 resource 3.54
77 Bag of Words Meets Bags of Popcorn Angela Chapman 321 tutorial 3.54
78 Plagiarism Detection J. Kasprzak and M. Brandejs 921 library 3.54
79 WikiSQL Victor Zhong, Caiming Ziong, Richard Socher 133 library 3.54
80 SippyCup Unit 1: Natural language arithmetic Bill MacCartney 365 tutorial 3.54
81 CNTK 204: Sequence to Sequence Networks with Text Data Microsoft 234 resource 3.54
82 Neural Network from Scratch John Sullivan 711 resource 3.54
83 The bAbI project Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M. Rush, Bart van Merriënboer, Armand Joulin and Tomas Mikolov 755 tutorial 3.54
84 The bAbI project Facebook 134 resource 3.54
85 RankPy Tomas Tunys 713 library 3.54
86 Deep Learning Specialization by Andrew Ng — 21 Lessons Learned Ryan Shrott 711 resource 3.54
87 Building a performing Machine Learning model from A to Z Charles Vestur 107 tutorial 3.54
88 Deep Learning for Stock Price Prediction Explained joe Ellsworth 711 tutorial 3.54
89 DEEP LEARNING FOR CHATBOTS, PART 2 - IMPLEMENTING A RETRIEVAL-BASED MODEL IN TENSORFLOW Denny Britz 445 tutorial 3.54
90 Deep Learning from first principles in Python, R and Octave – Part 1 Tinniam V Ganesh 711 resource 3.54
91 CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Fei-Fei Li, Larry Zitnick, Ross Girshick 958 corpus 3.54
92 Components of convolutional neural networks John Olafenwa 744 resource 3.54