Natural Language Processing

• Deep Learning for NLP: An Overview of Recent Trends
• Sequence-to-Sequence with Attention Model for Text Summarization
• Natural Language Processing with Python

Sequence to sequence

• A ten-minute introduction to sequence-to-sequence learning in Keras

Tools

• Natural Language Toolkit
• Keras Text Preprocessing
• spaCy
• ktext
• DialogFlow

Source Code Processing

• GitHub research, visualization and talks
• awesome machine learning on sourcecode
• MAST
• MUSE
• Machine learning for source code analysis
• Machine Learning for Large Scale Code Analysis
  • Source{d} Engine
• Mining software repositories
• Using Deep Learning to Understand Your Source Code
• One More Analysis of GitHub and StackOverflow Data with Google BigQuery
• Want people to actually answer your Stack Overflow question? Add a question mark.
• Catalog of references to StackOverflow questions found in GitHub sources
• Using Artificial Intelligence to Write Self-Modifying/Improving Programs
• Seminars on Applications of Deep Learning in Software Engineering and Programming Languages
• GitHub experiments
• How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning
• Example Check
• How To Create Data Products That Are Magical Using Sequence-to-Sequence Models

Tools

• ast

Datasets

• github_repos on Google BigQuery
• GH Archive

Software Metrics

• Halstead complexity measures

Abstract Syntax Tree

• Introduction to AST
• Awesome AST
• AST on GitHub
• MacroPy
• typeshed
• GitHub AST Viewer
• saplings: library of algorithms and data structures for working with abstract syntax trees
• Conflerge: resolving conflict merges with ASTs
• deast: a Python 3 module to convert an abstract syntax tree (AST) into Python code
• horast: human-oriented abstract syntax tree for Python 3

lint

• pyflakes: checks Python source files for errors
• bellybutton: custom Python linting through AST expressions
• vermin: concurrently detect the minimum Python versions needed to run code

Code Recommendation

• Kite
• Codot competitors
• Software data mining and code recommendation
• ai.codes
• neural_complete: a neural network trained to help writing neural network code using autocomplete
• CLAMS
• Semantic code search

Sentiment Analysis

• Sentiment analysis of commit comments in GitHub: an empirical study
• The Emotional Side of Software Developers in JIRA
• Measuring code sentiment in a GitHub repository

Finding similar source codes or programming styles

• source code plagiarism detector