René's URL Explorer Experiment

Title: GitHub - warenlg/awesome-machine-learning-on-source-code: Interesting links & research papers related to Machine Learning applied to source code

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X Title: GitHub - warenlg/awesome-machine-learning-on-source-code: Interesting links & research papers related to Machine Learning applied to source code

Description: Interesting links & research papers related to Machine Learning applied to source code - warenlg/awesome-machine-learning-on-source-code

Open Graph Description: Interesting links & research papers related to Machine Learning applied to source code - warenlg/awesome-machine-learning-on-source-code

X Description: Interesting links & research papers related to Machine Learning applied to source code - warenlg/awesome-machine-learning-on-source-code

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NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System	https://arxiv.org/abs/1802.08979v2
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Program Synthesis for Character Level Language Modeling	https://www.sri.inf.ethz.ch/papers/charmodel-iclr2017.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/13-pages-beginner-brightgreen.svg
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning	https://arxiv.org/abs/1711.04436v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
Learning to Select Examples for Program Synthesis	https://arxiv.org/abs/1711.03243v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/10-pages-gray.svg
Neural Program Meta-Induction	https://arxiv.org/abs/1710.04157v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/14-pages-beginner-brightgreen.svg
Learning to Infer Graphics Programs from Hand-Drawn Images	https://arxiv.org/abs/1707.09627v4
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/10-pages-gray.svg
Neural Attribute Machines for Program Generation	https://arxiv.org/abs/1705.09231v2
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/11-pages-beginner-brightgreen.svg
Abstract Syntax Networks for Code Generation and Semantic Parsing	https://arxiv.org/abs/1704.07535v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/20-pages-gray.svg
Making Neural Programming Architectures Generalize via Recursion	https://arxiv.org/pdf/1704.06611v1.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/14-pages-gray.svg
A Syntactic Neural Model for General-Purpose Code Generation	https://arxiv.org/abs/1704.01696v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-beginner-brightgreen.svg
Program Synthesis from Natural Language Using Recurrent Neural Networks	https://homes.cs.washington.edu/~mernst/pubs/nl-command-tr170301.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/18-pages-beginner-brightgreen.svg
RobustFill: Neural Program Learning under Noisy I/O	https://arxiv.org/abs/1703.07469v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/11-pages-gray.svg
Lifelong Perceptual Programming By Example	https://openreview.net/pdf?id=HJStZKqel
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/7-pages-gray.svg
Neural Programming by Example	https://arxiv.org/abs/1703.04990v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/21-pages-gray.svg
DeepCoder: Learning to Write Programs	http://arxiv.org/abs/1611.01989
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/10-pages-gray.svg
A Differentiable Approach to Inductive Logic Programming	https://pdfs.semanticscholar.org/9698/409fc1603d28b6d51c38261f6243837c8bdd.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-beginner-brightgreen.svg
Latent Attention For If-Then Program Synthesis	https://arxiv.org/abs/1611.01867v1
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Latent Predictor Networks for Code Generation	https://arxiv.org/abs/1603.06744
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Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version)	http://arxiv.org/abs/1612.01197
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Programs as Black-Box Explanations	http://arxiv.org/abs/1611.07579
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/14-pages-gray.svg
Structured Generative Models of Natural Source Code	https://arxiv.org/abs/1401.0514
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#source-code-analysis-and-language-modeling
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Syntax and Sensibility: Using language models to detect and correct syntax errors	http://softwareprocess.es/pubs/santos2018SANER-syntax.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/25-pages-gray.svg
code2vec: Learning Distributed Representations of Code	https://arxiv.org/abs/1803.09473v2
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/16-pages-gray.svg
Learning to Represent Programs with Graphs	https://arxiv.org/abs/1711.00740v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/36-pages-gray.svg
A Survey of Machine Learning for Big Code and Naturalness	https://arxiv.org/abs/1709.06182v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/36-pages-gray.svg
Are Deep Neural Networks the Best Choice for Modeling Source Code?	http://web.cs.ucdavis.edu/~devanbu/isDLgood.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/4-pages-gray.svg
A deep language model for software code	https://arxiv.org/abs/1608.02715v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
Suggesting Accurate Method and Class Names	http://homepages.inf.ed.ac.uk/csutton/publications/accurate-method-and-class.pdf
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Mining Source Code Repositories at Massive Scale using Language Modeling	http://homepages.inf.ed.ac.uk/csutton/publications/msr2013.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#neural-network-architectures-and-algorithms
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A General Path-Based Representation for Predicting Program Properties	https://arxiv.org/abs/1803.09544
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Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks	https://arxiv.org/abs/1710.06159v2
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Syntax-Directed Variational Autoencoder for Structured Data	https://openreview.net/pdf?id=SyqShMZRb
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Divide and Conquer with Neural Networks	http://arxiv.org/abs/1611.02401
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/10-pages-gray.svg
Learning Efficient Algorithms with Hierarchical Attentive Memory	http://arxiv.org/abs/1602.03218
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Learning Operations on a Stack with Neural Turing Machines	http://arxiv.org/abs/1612.00827
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Probabilistic Neural Programs	http://arxiv.org/abs/1612.00712
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Hierarchical multiscale recurrent neural networks	https://arxiv.org/abs/1609.01704
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Neural Programmer-Interpreters	http://arxiv.org/abs/1511.06279
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Neural GPUs Learn Algorithms	http://arxiv.org/abs/1511.08228
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Neural Random-Access Machines	https://arxiv.org/abs/1511.06392v3
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Neural Programmer: Inducing Latent Programs with Gradient Descent	http://arxiv.org/abs/1511.04834
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Learning to Execute	https://arxiv.org/abs/1410.4615v3
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Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets	http://arxiv.org/abs/1503.01007
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Neural Turing Machines	http://arxiv.org/abs/1410.5401
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From Machine Learning to Machine Reasoning	http://arxiv.org/abs/1102.1808
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#embeddings-in-software-engineering
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Word Embeddings for the Software Engineering Domain	https://github.com/vefstathiou/SO_word2vec/blob/master/MSR18-w2v.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/10-pages-gray.svg
Document Distance Estimation via Code Graph Embedding	https://www.researchgate.net/publication/320074701_Document_Distance_Estimation_via_Code_Graph_Embedding
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/3-pages-gray.svg
Combining Word2Vec with revised vector space model for better code retrieval	https://www.researchgate.net/publication/318123700_Combining_Word2Vec_with_Revised_Vector_Space_Model_for_Better_Code_Retrieval
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
From word embeddings to document similarities for improved information retrieval in software engineering	https://www.researchgate.net/publication/296526040_From_Word_Embeddings_To_Document_Similarities_for_Improved_Information_Retrieval_in_Software_Engineering
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/3-pages-gray.svg
Mapping API Elements for Code Migration with Vector Representation	https://dl.acm.org/citation.cfm?id=2892661
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#program-translation
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Tree-to-tree Neural Networks for Program Translation	https://arxiv.org/abs/1802.03691v1
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Code Attention: Translating Code to Comments by Exploiting Domain Features	https://arxiv.org/abs/1709.07642v2
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
Automatically Generating Commit Messages from Diffs using Neural Machine Translation	https://arxiv.org/abs/1708.09492v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/5-pages-gray.svg
A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation	https://arxiv.org/abs/1707.02275v1
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A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes	https://arxiv.org/abs/1704.04856v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#code-suggestion-and-completion
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Code Completion with Neural Attention and Pointer Networks	https://arxiv.org/abs/1711.09573v1
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Learning Python Code Suggestion with a Sparse Pointer Network	https://arxiv.org/abs/1611.08307
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Code Completion with Statistical Language Models	http://www.srl.inf.ethz.ch/papers/pldi14-statistical.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#program-repair-and-bug-detection
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Shaping Program Repair Space with Existing Patches and Similar Code	http://sei.pku.edu.cn/~xiongyf04/papers/ISSTA18a.pdf
code	https://github.com/xgdsmileboy/SimFix
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Learning to Repair Software Vulnerabilities with Generative Adversarial Networks	https://arxiv.org/abs/1805.07475
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Dynamic Neural Program Embedding for Program Repair	https://arxiv.org/abs/1711.07163v2
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Estimating defectiveness of source code: A predictive model using GitHub content	https://arxiv.org/abs/1803.07764
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Automated software vulnerability detection with machine learning	https://arxiv.org/abs/1803.04497
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To Type or Not to Type: Quantifying Detectable Bugs in JavaScript	http://earlbarr.com/publications/typestudy.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/11-pages-gray.svg
Semantic Code Repair using Neuro-Symbolic Transformation Networks	https://arxiv.org/abs/1710.11054v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/6-pages-gray.svg
Automated Identification of Security Issues from Commit Messages and Bug Reports	http://asankhaya.github.io/pdf/automated-identification-of-security-issues-from-commit-messages-and-bug-reports.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/31-pages-gray.svg
SmartPaste: Learning to Adapt Source Code	https://arxiv.org/abs/1705.07867
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/7-pages-gray.svg
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks	https://arxiv.org/abs/1703.02458v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/11-pages-gray.svg
Tailored Mutants Fit Bugs Better	https://arxiv.org/abs/1611.02516
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#apis-and-code-mining
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Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code	https://bdqnghi.github.io/files/icse-18-nier.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/7-pages-gray.svg
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning	https://arxiv.org/abs/1704.07734v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
Deep API Learning	https://arxiv.org/abs/1605.08535v3
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/11-pages-gray.svg
Exploring API Embedding for API Usages and Applications	http://home.eng.iastate.edu/~trong/projects/jv2cs/
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
API usage pattern recommendation for software development	http://www.sciencedirect.com/science/article/pii/S0164121216301200
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
Parameter-Free Probabilistic API Mining across GitHub	http://homepages.inf.ed.ac.uk/csutton/publications/fse2016.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/10-pages-gray.svg
A Subsequence Interleaving Model for Sequential Pattern Mining	http://homepages.inf.ed.ac.uk/csutton/publications/kdd2016-subsequence-interleaving.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/4-pages-gray.svg
Lean GHTorrent: GitHub data on demand	https://bvasiles.github.io/papers/lean-ghtorrent.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
Mining idioms from source code	http://homepages.inf.ed.ac.uk/csutton/publications/idioms.pdf
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The GHTorent Dataset and Tool Suite	http://www.gousios.gr/pub/ghtorrent-dataset-toolsuite.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#code-optimization
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The Case for Learned Index Structures	https://arxiv.org/abs/1712.01208v2
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Learning to superoptimize programs	https://arxiv.org/abs/1611.01787v3
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/18-pages-gray.svg
Neural Nets Can Learn Function Type Signatures From Binaries	https://www.usenix.org/system/files/conference/usenixsecurity17/sec17-chua.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/25-pages-gray.svg
Adaptive Neural Compilation	https://arxiv.org/abs/1605.07969v2
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/10-pages-gray.svg
Learning to Superoptimize Programs - Workshop Version	http://arxiv.org/abs/1612.01094
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#topic-modeling
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Topic modeling of public repositories at scale using names in source code	https://arxiv.org/abs/1704.00135
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Why, When, and What: Analyzing Stack Overflow Questions by Topic, Type, and Code	http://homepages.inf.ed.ac.uk/csutton/publications/msrCh2013.pdf
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Semantic clustering: Identifying topics in source code	https://pdfs.semanticscholar.org/c9ba/722322912419e59ea251c22b437d251f1644.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#sentiment-analysis
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A Benchmark Study on Sentiment Analysis for Software Engineering Research	https://arxiv.org/abs/1803.06525
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Sentiment Analysis for Software Engineering: How Far Can We Go?	http://www.inf.usi.ch/phd/lin/downloads/Lin2018a.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
Leveraging Automated Sentiment Analysis in Software Engineering	http://cs.uno.edu/~zibran/resources/MyPapers/SentiStrengthSE_2017.pdf
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Sentiment Polarity Detection for Software Development	https://arxiv.org/pdf/1709.02984.pdf
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SentiCR: A Customized Sentiment Analysis Tool for Code Review Interactions	https://drive.google.com/file/d/0Byog0ILN8S1haGxpT3hvSzZxdms/view
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#code-summarization
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/11-pages-gray.svg
A Convolutional Attention Network for Extreme Summarization of Source Code	http://arxiv.org/abs/1602.03001
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/4-pages-gray.svg
TASSAL: Autofolding for Source Code Summarization	http://homepages.inf.ed.ac.uk/csutton/publications/icse2016-demo.pdf
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Summarizing Source Code using a Neural Attention Model	https://github.com/sriniiyer/codenn/blob/master/summarizing_source_code.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#clone-detection
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DéjàVu: a map of code duplicates on GitHub	http://janvitek.org/pubs/oopsla17b.pdf
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Some from Here, Some from There: Cross-project Code Reuse in GitHub	http://web.cs.ucdavis.edu/~filkov/papers/clones.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
Deep Learning Code Fragments for Code Clone Detection	http://www.cs.wm.edu/~denys/pubs/ASE'16-DeepLearningClones.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/11-pages-gray.svg
A study of repetitiveness of code changes in software evolution	https://lib.dr.iastate.edu/cgi/viewcontent.cgi?referer=https://scholar.google.com/&httpsredir=1&article=1016&context=cs_conf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#differentiable-interpreters
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/12-pages-gray.svg
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer	https://arxiv.org/abs/1803.11361v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/16-pages-gray.svg
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction	https://arxiv.org/abs/1802.02696v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/10-pages-gray.svg
Differentiable Programs with Neural Libraries	https://arxiv.org/abs/1611.02109v2
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/15-pages-gray.svg
Differentiable Functional Program Interpreters	https://arxiv.org/abs/1611.01988v2
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/18-pages-gray.svg
Programming with a Differentiable Forth Interpreter	http://arxiv.org/abs/1605.06640
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/15-pages-gray.svg
Neural Functional Programming	https://arxiv.org/abs/1611.01988v1
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/badges/7-pages-gray.svg
TerpreT: A Probabilistic Programming Language for Program Induction	http://arxiv.org/abs/1612.00817
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#binary-data-modeling
Clustering Binary Data with Bernoulli Mixture Models	http://nsgrantham.com/documents/clustering-binary-data.pdf
A Family of Blockwise One-Factor Distributions for Modelling High-Dimensional Binary Data	https://arxiv.org/pdf/1511.01343.pdf
BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data	https://arxiv.org/pdf/1609.06960.pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#soft-clustering-using-t-mixture-models
Robust mixture modelling using the t distribution	http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.218.7334&rep=rep1&type=pdf
Robust mixture modeling using the skew t distribution	http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1030.9865&rep=rep1&type=pdf
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#posts
Learning from Source Code	https://www.microsoft.com/en-us/research/blog/learning-source-code/
Training a Model to Summarize Github Issues	https://towardsdatascience.com/how-to-create-data-products-that-are-magical-using-sequence-to-sequence-models-703f86a231f8
Sequence Intent Classification Using Hierarchical Attention Networks	https://www.microsoft.com/developerblog/2018/03/06/sequence-intent-classification/
Syntax-Directed Variational Autoencoder for Structured Data	https://mlatgt.blog/2018/02/08/syntax-directed-variational-autoencoder-for-structured-data/
Weighted MinHash on GPU helps to find duplicate GitHub repositories.	https://blog.sourced.tech//post/minhashcuda/
Source Code Identifier Embeddings	https://blog.sourced.tech/post/id2vec/
Using recurrent neural networks to predict next tokens in the java solutions	http://near.ai/articles/2017-06-01-Code-Completion-Demo/
The half-life of code & the ship of Theseus	https://erikbern.com/2016/12/05/the-half-life-of-code.html
The eigenvector of "Why we moved from language X to language Y"	https://erikbern.com/2017/03/15/the-eigenvector-of-why-we-moved-from-language-x-to-language-y.html
Analyzing Github, How Developers Change Programming Languages Over Time	https://blog.sourced.tech/post/language_migrations/
Topic Modeling of GitHub Repositories	https://blog.sourced.tech//post/github_topic_modeling/
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#talks
Machine Learning on Source Code	http://vmarkovtsev.github.io/pydays-2018-vienna/
Similarity of GitHub Repositories by Source Code Identifiers	http://vmarkovtsev.github.io/techtalks-2017-moscow/
Using deep RNN to model source code	http://vmarkovtsev.github.io/re-work-2016-london/
Source code abstracts classification using CNN (1)	http://vmarkovtsev.github.io/re-work-2016-berlin/
Source code abstracts classification using CNN (2)	http://vmarkovtsev.github.io/data-natives-2016/
Source code abstracts classification using CNN (3)	http://vmarkovtsev.github.io/slush-2016/
Embedding the GitHub contribution graph	https://egorbu.github.io/techtalks-2017-moscow
Measuring code sentiment in a Git repository	http://vmarkovtsev.github.io/gophercon-2018-moscow/
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#software
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#machine-learning
Differentiable Neural Computer (DNC)	https://github.com/deepmind/dnc
sourced.ml	https://github.com/src-d/ml
vecino	https://github.com/src-d/vecino
apollo	https://github.com/src-d/apollo
gemini	https://github.com/src-d/gemini
enry	https://github.com/src-d/enry
hercules	https://github.com/src-d/hercules
Code Neuron	https://github.com/vmarkovtsev/codeneuron
Naturalize	https://github.com/mast-group/naturalize
Extreme Source Code Summarization	https://github.com/mast-group/convolutional-attention
Summarizing Source Code using a Neural Attention Model	https://github.com/sriniiyer/codenn
Probabilistic API Miner	https://github.com/mast-group/api-mining
Interesting Sequence Miner	https://github.com/mast-group/sequence-mining
TASSAL	https://github.com/mast-group/tassal
JNice2Predict	http://www.nice2predict.org/
Clone Digger	http://clonedigger.sourceforge.net/download.html
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#utilities
go-git	https://github.com/src-d/go-git
bblfsh	https://github.com/bblfsh
engine	https://github.com/src-d/engine
minhashcuda	https://github.com/src-d/minhashcuda
kmcuda	https://github.com/src-d/kmcuda
wmd-relax	https://github.com/src-d/wmd-relax
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#datasets
Public Git Archive	https://github.com/src-d/datasets/tree/master/PublicGitArchive
StackOverflow Question-Code Dataset	https://github.com/LittleYUYU/StackOverflow-Question-Code-Dataset
GitHub Issue Titles and Descriptions for NLP Analysis	https://www.kaggle.com/davidshinn/github-issues/
GitHub repositories - languages distribution	https://data.world/source-d/github-repositories-languages-distribution
452M commits on GitHub	https://data.world/vmarkovtsev/452-m-commits-on-github
GitHub readme files	https://data.world/vmarkovtsev/github-readme-files
from language X to Y	https://data.world/vmarkovtsev/from-language-x-to-y
GitHub word2vec 120k	https://data.world/vmarkovtsev/github-word-2-vec-120-k
GitHub Source Code Names	https://data.world/vmarkovtsev/github-source-code-names
GitHub duplicate repositories	https://data.world/vmarkovtsev/github-duplicate-repositories
GitHub lng keyword frequencies	https://data.world/vmarkovtsev/github-lng-keyword-frequencies
GitHub Java Corpus	http://groups.inf.ed.ac.uk/cup/javaGithub/
150k Python Dataset	http://www.srl.inf.ethz.ch/py150.php
150k JavaScript Dataset	http://www.srl.inf.ethz.ch/js150.php
card2code	https://github.com/deepmind/card2code
Latent Predictor Networks for Code Generation	https://arxiv.org/abs/1603.06744
NL2Bash	https://github.com/TellinaTool/nl2bash
paper	https://arxiv.org/abs/1802.08979
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#credits
mast-group	https://mast-group.github.io/
Awesome Machine Learning	https://github.com/josephmisiti/awesome-machine-learning
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#contributions
CONTRIBUTING.md	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/blob/master/CONTRIBUTING.md
	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#license
	https://creativecommons.org/licenses/by-sa/4.0/
Readme	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#readme-ov-file
CC-BY-SA-4.0 license	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#CC-BY-SA-4.0-1-ov-file
Code of conduct	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#coc-ov-file
Contributing	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code#contributing-ov-file
Please reload this page	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code
Activity	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/activity
0 stars	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/stargazers
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0 forks	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/forks
Report repository	https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fwarenlg%2Fawesome-machine-learning-on-source-code&report=warenlg+%28user%29
Releases	https://patch-diff.githubusercontent.com/warenlg/awesome-machine-learning-on-source-code/releases
Packages 0	https://patch-diff.githubusercontent.com/users/warenlg/packages?repo_name=awesome-machine-learning-on-source-code
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Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

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