Ml4code.github.io Website Review


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Traffic and Value

Is ml4code.github.io legit?
Website Value $98
Alexa Rank 3341256
Monthly Visits 1087
Daily Visits 37
Monthly Earnings $5.44
Daily Earnings $0.18
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Ml4code.github.io Server Location

Country: United States
Metropolitan Area: Not defined
Postal Reference Code: Not defined
Latitude: 37.751
Longitude: -97.822




Summarized Content

The billions of lines of source code that have been written contain implicit knowledge about how to write good code, code that is easy to Like writing and speaking, software development is an act of human communication. At its core, the naturalness of software employs statistical modeling over big code to reason about rich variety of programs developers write. This new line of research is inherently interdisciplinary, uniting the machine learning and natural language processing communities with software engineering and programming @article{allamanis2018survey,   title={A survey of machine learning for big code and naturalness},   author={Allamanis, Miltiadis and Barr, Earl T and Devanbu, Premkumar and Sutton, Charles},   journal={ACM Computing Surveys (CSUR)}, This research area is evolving so fast that a static review cannot keep up. But a website can! We hope to make this site a living docu*ent. Anyone can add a paper to this web site, essentially by creating one Markdown file. To contribute, open a pull request in


Ml4code Main Page Content

HTML Tag Content Informative?
Title: A Survey of Machine Learning for Big Code and Naturalness | Machine Learning for Big Code and
Description: Research on machine learning for source Could be improved
H1: Machine Learning for Big Code and NaturalnessIs it informative enough?
H3: Machine Learning on Source CodeIs it informative enough?

Other Helpful Websites and Services for Ml4code

Internal Pages

/papers.html:
Title

Search all Publications on Machine Learning for Source Code | Machine Learning for Big Code and Naturalness

Description

A list of research papers for machine learning models for source code.

H1

Machine Learning for Big Code and Naturalness

/base-taxonomy/:
Title

Taxonomy | Machine Learning for Big Code and Naturalness

Description

A taxonomy of machine learning models of source code.

H1

Machine Learning for Big Code and Naturalness

/base-taxonomy/generative.html:
Title

Code-Generating Models | Machine Learning for Big Code and Naturalness

Description

Research on machine learning for source code.

H1

Machine Learning for Big Code and Naturalness

H2

Code-Generating Models

/base-taxonomy/representational.html:
Title

Representational Models | Machine Learning for Big Code and Naturalness

Description

Research on machine learning for source code.

H1

Machine Learning for Big Code and Naturalness

H2

Representational Models

/base-taxonomy/pattern.html:
Title

Pattern-Mining Models | Machine Learning for Big Code and Naturalness

Description

Research on machine learning for source code.

H1

Machine Learning for Big Code and Naturalness

H2

Pattern Mining Models

All the information about ml4code.github.io was collected from publicly available sources

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