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src-d/awesome-machine-learning-on-source-code

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6,524 stars·838 forks·cc-by-sa-4.0·12 views

Awesome Machine Learning On Source Code

Features

  • Awesome List - A community-curated directory that catalogs and links out to other open-source projects, rather than a standalone tool you run yourself.
  • Curated Knowledge Bases - Research and tools for applying ML to code.
  • Curated Resource Lists - Research and tools for applying ML to source code.
  • Educational Resources - Projects focused on applying machine learning to source code analysis.

Star history

Star history chart for src-d/awesome-machine-learning-on-source-codeStar history chart for src-d/awesome-machine-learning-on-source-code

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What are the main features of src-d/awesome-machine-learning-on-source-code?

The main features of src-d/awesome-machine-learning-on-source-code are: Awesome List, Curated Knowledge Bases, Curated Resource Lists, Educational Resources.

What are some open-source alternatives to src-d/awesome-machine-learning-on-source-code?

Open-source alternatives to src-d/awesome-machine-learning-on-source-code include: awesomedata/awesome-public-datasets — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a… ujjwalkarn/machine-learning-tutorials — This repository serves as a structured educational resource for machine learning and data science, providing a… benedekrozemberczki/awesome-graph-classification — A collection of important graph embedding, classification and representation learning papers with implementations. benedekrozemberczki/awesome-fraud-detection-papers — A curated list of data mining papers about fraud detection. astrazeneca/awesome-explainable-graph-reasoning — A collection of research papers and software related to explainability in graph machine learning. astrazeneca/awesome-drug-pair-scoring — Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022).

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