Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

martysai/source-code-summarization

Repository files navigation

Source Code Summarization

Currently observed approaches:

Method Source Paper
Neural Code Sum repo arxiv
Tree Transformer repo openreview
TransCoder repo arxiv

Environment setup:

conda create -n scs python=3.7
conda activate scs
pip install -r requirements.txt

Install linter with:

pip install flake8

To run formatter execute from the source folder:

bash scripts/yapf.sh

About

Transformer-based approaches for an efficient docstrings generation on a piece of Python's code.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

AltStyle によって変換されたページ (->オリジナル) /