awesome-machine-learning-on-source-code
github.com/eric-erki/awesome-machine-learning-on-source-code ↗Cool links & research papers related to Machine Learning applied to source code (MLonCode)
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Software
- 150k JavaScript Dataset
Dataset consisting of 150,000 JavaScript files and their parsed ASTs.
- 150k Python Dataset
Dataset consisting of 150,000 Python ASTs.
- 452M commits on GitHub
≈ 452M commits' metadata from 16M repositories on GitHub (October 2016).
- apollo
Source code deduplication as scale, research.
- bblfsh
Self-hosted server for source code parsing.
- card2code
This dataset contains the language to code datasets described in the paper
Conferences
- 2018 IEEE 25th International Conference on Software Analysis, Evolution, and Reengineering (SANER)
- ACM International Conference on Software Engineering, ICSE
- ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE)
- AIFORSE
- CamAIML
Alexander Gaunt.
- Learning to Code: Machine Learning for Program Induction
Alexander Gaunt.
Papers
- A Benchmark Study on Sentiment Analysis for Software Engineering Research
Nicole Novielli, Daniela Girardi, Filippo Lanubile, MSR 2018.
- Abstract Syntax Networks for Code Generation and Semantic Parsing
Maxim Rabinovich, Mitchell Stern, Dan Klein, ACL 2017.
- A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis, Hao Peng, Charles Sutton, ICML 2016.
- Adaptive Neural Compilation
Rudy Bunel, Alban Desmaison, Pushmeet Kohli, Philip H.S. Torr, M. Pawan Kumar, NIPS 2016.
- A deep language model for software code
Hoa Khanh Dam, Truyen Tran, Trang Pham, 2016.
- A deep tree-based model for software defect prediction
HK Dam, T Pham, SW Ng,
Posts
Digests
- A Survey of Machine Learning for Big Code and Naturalness
Survey and literature review on Machine Learning on Source Code.
- Learning from "Big Code"
Techniques, challenges, tools, datasets on "Big Code".
Competitions
- CodRep
competition on automatic program repair: given a source line, find the insertion point.
Showing a sample of 207 resources. View the full list on GitHub →